Systems and methods for virtually assessing an industrial automation system

ABSTRACT

An industrial automation system includes a first computing device that communicatively couples to a second computing device via a communication network. The first computing device receives image data capturing a visual representation of industrial automation equipment in operation via the communication network, in which the image data is acquired by the second computing device; determines an identity of the industrial automation equipment based at least in part on the image data; determines relevant information regarding the industrial automation equipment based at least in part on the identity of the industrial automation equipment; and instructs the industrial automation equipment, the second computing device, the first computing device, the industrial automation system, a user, or any combination thereof to perform one or more operations in the industrial automation system based at least in part on the relevant information.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority from and the benefit of U.S.Provisional Application Ser. No. 62/139,182, entitled “Systems andMethods for Exchanging Information Between Devices in an IndustrialAutomation Environment,” filed Mar. 27, 2015, which is herebyincorporated by reference in its entirety.

BACKGROUND

The present disclosure relates generally to industrial automationsystems and communication of information within industrial automationsystems. To facilitate performing various processes in a facility (e.g.,a factory or plant), the industrial automation system may includeautomation equipment and may utilize a communication architecture thatfacilitates communication of information between automation equipmentand/or with a user.

BRIEF DESCRIPTION

Generally, the present disclosure discusses numerous concepts regardinghow devices in an industrial automation environment may exchangeinformation with each other and use this shared information to assistusers in the industrial automation environment to manage the operationsand maintenance of the devices. In one embodiment, the devices in theindustrial automation system may include a communication architecturethat is structured according to a tri-partite paradigm that facilitatescommunications between a device, a computing device, and a cloud-basedcomputing system. The information shared within this tri-partitestructure may enable machines to operate more efficiently, users toperform their tasks more efficiently, and generally provide for improvedoperations of an industrial automation system.

In one embodiment, an industrial automation system includes a firstcomputing device that communicatively couples to a second computingdevice via a communication network. The first computing device receivesimage data capturing a visual representation of industrial automationequipment in operation via the communication network, in which the imagedata is acquired by the second computing device; determines an identityof the industrial automation equipment based at least in part on theimage data; determines relevant information regarding the industrialautomation equipment based at least in part on the identity of theindustrial automation equipment; and instructs the industrial automationequipment, the second computing device, the first computing device, theindustrial automation system, a user, or any combination thereof toperform one or more operations in the industrial automation system basedat least in part on the relevant information.

In another embodiment, a tangible, non-transitory, computer-readablemedium that store instructions executable by a processor in a firstcomputing device. The instructions include instructions to receive,using the processor, first image data capturing a visual representationof industrial automation equipment in an industrial automation system,in which the first image data is acquired by a second computing deviceseparate from the first computing device; determine, using theprocessor, identity of the industrial automation equipment via a firstautomated search of a storage component based at least in part on thefirst image data; determine, using the processor, relevant informationbased at least in part on the identity of the industrial automationequipment; and instruct, using the processor, the first computingdevice, the second computing device, the industrial automationequipment, a user, or any combination thereof to perform one or moreoperations in the industrial automation system based at least in part onthe relevant information.

In yet another embodiment, a method receiving, using a first computingdevice, identifying information of industrial automation equipment in anindustrial automation system; communicating, using the first computingdevice, the identifying information of the industrial automationequipment to a second computing device via a communication network, inwhich the second computing device determines relevant informationassociated with the industrial automation equipment based at least inpart on the identifying information; and receiving, using the firstcomputing device, the relevant information from the second computingdevice via the communication network; and performing, using the firstcomputing device, an operation in the industrial automation system basedat least in part on the relevant information.

DRAWINGS

These and other features, aspects, and advantages of the presentdisclosure will become better understood when the following detaileddescription is read with reference to the accompanying drawings in whichlike characters represent like parts throughout the drawings, wherein:

FIG. 1 is a block diagram of an industrial automation system, inaccordance with embodiments presented herein;

FIG. 2 is a schematic representation of a communication network, inaccordance with embodiments presented herein;

FIG. 3 is a block diagram of a computing device, in accordance withembodiments presented herein;

FIG. 4 is a block diagram a cloud-based computing system, in accordancewith embodiments presented herein;

FIG. 5 is a flow diagram of a method for communicating relevantinformation, in accordance with embodiments presented herein;

FIG. 6 is a flow diagram of a method for remotely providing relevantinformation, in accordance with embodiments presented herein;

FIG. 7 is a flow diagram of a method for providing relevant informationin an automated manner, in accordance with embodiments presented herein;

FIG. 8 is a flow diagram of a method for determining procedureinstructions, in accordance with embodiments presented herein;

FIG. 9 is a flow diagram of a method for tracking execution of procedureinstructions, in accordance with an embodiment presented herein;

FIG. 10 is a flow diagram of a method for generating and/or updatingprocedure instructions, in accordance with an embodiment presentedherein;

FIG. 11 is a screen capture of a display, in accordance with embodimentspresented herein;

FIG. 12 is a flow diagram describing a method for displaying realobjects and virtual objects on the display, in accordance withembodiments presented herein; and

FIG. 13 is a flow diagram describing a method for capturing visualrepresentations used to display real objects, in accordance withembodiments presented herein.

DETAILED DESCRIPTION

One or more specific embodiments will be described below. In an effortto provide a concise description of these embodiments, not all featuresof an actual implementation are described in the specification. Itshould be appreciated that in the development of any such actualimplementation, as in any engineering or design project, numerousimplementation-specific decisions must be made to achieve thedevelopers' specific goals, such as compliance with system-related andbusiness-related constraints, which may vary from one implementation toanother. Moreover, it should be appreciated that such a developmenteffort might be complex and time consuming, but would nevertheless be aroutine undertaking of design, fabrication, and manufacture for those ofordinary skill having the benefit of this disclosure.

As discussed above, industrial automation systems are often used toperform a process in facilities, such as plants or factories. Forexample, in some embodiments, the process may include a manufacturingprocess, a steady state process, a batch process, a chemical process, amaterial handling process, an energy utilizing process, an energyproduction process, or any combination thereof. Accordingly, the processgenerally utilizes one or more inputs, such as electrical energy and/orraw materials, to produce one or more outputs, such as manufacturingproducts and/or byproducts.

To facilitate performing the process, the industrial automation systemgenerally includes various machines and/or devices that performfunctions. To simplify the following discussion, the machines and/ordevices are generally referred to herein as “automation equipment.” Tocontrol and monitor the automation equipment, additional devices, suchas computing devices, controllers, input/output (I/O) modules, motorcontrol centers, human machine interfaces (HMIs), operator interfaces,contactors, starters, drives, scanners, gauges, valves, flow meters, andthe like, may be coupled to the automation equipment.

Since the industrial automation system may include various types ofautomation equipment, operation of the automation equipment may beinterdependent with each other and with various types of control andmonitoring equipment. For example, a motor drive may supply electricalpower to a motor to actuate the motor. As such, when the motor drive isdisabled, the motor may also be disabled.

Thus, to facilitate interoperation, relevant information may becommunicated between automation equipment, industrial automationsystems, computing devices disposed in the equipment or the industrialautomation systems, a computing device unconnected with the equipment orthe industrial automation system, users, or any combination thereof. Forexample, the motor drive may communicate its disabled status (e.g.,relevant information) to the motor and/or some computing device toinform others to refrain from reconnecting electrical power. As such,the communication of relevant information with the industrial automationsystem (e.g., between automation equipment, industrial automationsystems, computing devices, and/or users) may facilitate operation ofthe industrial automation system.

Accordingly, as will be described in more detail below, the presentdisclosure provides techniques to facilitate communication of relevantinformation in an industrial automation system and techniques tofacilitate controlling operation of the industrial automation systembased on the relevant information. In some embodiments, to facilitatethe communication of relevant information, the industrial automationsystem may include a communication architecture that is structuredaccording to a tri-partite structure. More specifically, the tri-partitestructure may facilitate communication between automation equipment (orconnected industrial automation systems), computing devices (e.g., amobile computing device or a cloud-based computing system), or anycombination thereof. In this manner, the tri-partite structure mayfacilitate operation of the industrial automation system by enablingcommunication of relevant information.

In some embodiments, the relevant information may include statusinformation, operational parameter information, assessment information,and/or procedure instructions related to one or more automationequipment or the industrial automation system as a whole. Accordingly,to facilitate controlling/managing operation of the industrialautomation system, relevant information may be determined and, in someembodiments, presented to a user (e.g., an operator). As such, operationof the industrial automation system may be facilitated by thedetermination and/or presentation of the relevant information.

Some embodiments of the present disclosure may facilitate determiningthe relevant information in an automated and/or remote manner based atleast in part on image data capturing a visual representation ofphysical features of a facility, such as automation equipment, and/oraudio data capturing an audio representation of sound in the facility.As used herein, “image data” is intended to describe any data acquiredby an image sensor. As such, image data may include data used to displayone or more single images or a series of sequentially captured images(e.g., a video feed) depicting physical features, for example, ascaptured by an image sensor of a computing device. Additionally, as usedherein, “audio data” is intended to describe any data acquired by anaudio sensor. As such, the audio data may be used to playback capturedsounds. Thus, in some embodiments, image data and/or audio dataassociated with some automation equipment may be used to identify theautomation equipment and/or other relevant information related to theautomation equipment or an environment surrounding the equipment.

For example, to facilitate remote determination of relevant information,image data and/or audio data capturing a portion of a facility may becommunicated to a computing device and presented to a user (e.g., aservice professional) who is physically remote from the facility. Tohelp illustrate, in some embodiments, a mobile computing device (e.g., acomputing device) may be moved around the facility to capture a visualrepresentation of a motor drive (e.g., automation equipment) as imagedata. The mobile computing device may then communicate the image data toa cloud-based computing system (e.g., a computing device) via acommunication network.

Based on the received image data, the cloud-based computing system mayprovide a visual representation of the motor drive to the user (e.g.,via a display of a network-connected computing device). Additionally,the cloud-based computing system may provide a prompt requesting itsuser, who may be physically remote from the facility, to input anidentity (e.g., relevant information) of the displayed motor drive. Thecloud-based computing system may then communicate the identity of themotor drive back to the mobile computing device. In this manner, theimage data may facilitate determining relevant information in a remotemanner, for example, by leveraging knowledge of a user physically remotefrom the facility.

Additionally, to facilitate automated determination of relevantinformation, a computing device may perform an automated search based onimage data and/or audio data capturing a portion of a facility. To helpillustrate, in some embodiments, a mobile computing device (e.g., acomputing device) may be moved around the facility to capture a visualrepresentation of a motor drive (e.g., automation equipment) as imagedata. The mobile computing device may then communicate the image data toa cloud-based computing system (e.g., a computing device).

Based on the received image data, the cloud-based computing system mayperform an automated search to determine identity (e.g., relevantinformation) of the motor drive. More specifically, the cloud-basedcomputing system may determine physical dimensions or shapes of themotor drive based on the image data. In some embodiments, a storagecomponent (e.g., database) may store associations between automationequipment and their respective physical dimensions and/or shapes.Accordingly, in such embodiments, the cloud-based computing system maysearch the storage component using the physical dimensions and/or shapeof the motor drive to determine its identity. Additionally, in someembodiments, the cloud-based computing system may request informationfrom the automation equipment regarding their respective physicaldimensions. Accordingly, in such embodiments, the cloud-based computingsystem may search the received physical dimensions using the physicaldimensions of the motor drive to determine its identity. In this manner,the image data may facilitate determining relevant information in anautomated manner, for example, by leveraging automated searchingcapabilities of a computing device.

Additionally, some embodiments of the present disclosure facilitatepresentation of determined relevant information. In some embodiments, acomputing device may display graphical objects on its display to presentrelevant information to a user. More specifically, the graphical objectsmay include both real objects and virtual objects. As used herein, a“real object” may describe a graphical object that depicts a physicalfeature present in a facility. In some embodiments, the real objects maybe based at least in part on image data capturing the physical feature.Additionally, as used herein, a “virtual object” is intended to describea graphical object that is not physically present in the facility. Thatis, the virtual object may indicate information relevant to a displayedreal object. In some embodiments, the virtual objects may be based atleast in part on relevant information received from another computingdevice, automation equipment, a user, or any combination thereof.

To help illustrate, in some embodiments, a mobile computing device(e.g., a computing device) may be moved around the facility to capture avisual representation of a motor (e.g., automation equipment) as imagedata. Based on the image data, the mobile computing device may displaythe automation equipment real object to visually represent theautomation equipment to its user.

Additionally, the mobile computing device may determine temperature(e.g., relevant information) of the motor. In some embodiments, themobile computing device may receive a temperature measurement from acloud-based computing system (e.g., a computing device) based on thecaptured image data. Additionally, in some embodiments, the mobilecomputing device may request a sensor or the automation equipment toreturn a temperature measurement.

The mobile computing device may then display a virtual object thatincludes text to indicate temperature of the motor. As such, thecomputing device presents the temperature of the motor when thecomputing device is located proximate and oriented toward the motordrive such that the image data is captured, which may enable a user tocrosscheck the received digital temperature measurement with atemperature measured by an analog sensor on the motor. In this manner,the computing device may facilitate presentation of relevantinformation, for example, by leveraging the location and/or orientationof the computing device relative to physical features in a facility.

FIG. 1 is a diagrammatical representation of an exemplary industrialautomation system 9, in accordance with embodiments presented herein. InFIG. 1, the industrial automation system 9 includes a control andmonitoring system 10, which is illustrated as including a human machineinterface (HMI) 12 and a control/monitoring device (e.g., automationcontroller) 14 adapted to interface with devices that may monitor andcontrol various types of industrial automation equipment 16. In someembodiments, the industrial automation equipment 16 may includeautomation equipment used in an industrial setting. It should be notedthat such an interface in accordance with embodiments of the presenttechniques may be facilitated by the use of certain network strategies.Indeed, an industry standard network may be employed, such as DeviceNet,to enable data transfer. Such networks permit the exchange of data inaccordance with a predefined protocol, and may provide power foroperation of networked elements.

The industrial automation equipment 16 may take many forms and includedevices for accomplishing many different and varied purposes. Forexample, the industrial automation equipment 16 may include machineryused to perform various operations in a compressor station, an oilrefinery, a batch operation for making food items, a mechanized assemblyline, and so forth. Accordingly, the industrial automation equipment 16may comprise a variety of operational components, such as electricmotors, valves, actuators, temperature elements, pressure sensors, or amyriad of machinery or devices used for manufacturing, processing,material handling, and other applications.

Additionally, the industrial automation equipment 16 may be used toperform the various operations that may be part of an industrialapplication. For instance, the industrial automation equipment 16 mayinclude electrical equipment, hydraulic equipment, compressed airequipment, steam equipment, mechanical tools, protective equipment,refrigeration equipment, power lines, hydraulic lines, steam lines, andthe like. Some example types of equipment may include mixers, machineconveyors, tanks, skids, specialized original equipment manufacturermachines, and the like. In addition to the equipment described above,the industrial automation equipment 16 may also include controllers,input/output (I/O) modules, motor control centers, motors, human machineinterfaces (HMIs), operator interfaces, contactors, starters, sensors18, actuators 20, drives, relays, protection devices, switchgear,compressors, sensor, actuator, firewall, network switches (e.g.,Ethernet switches, modular-managed, fixed-managed, service-router,industrial, unmanaged, etc.) and the like.

In certain embodiments, one or more properties of the industrialautomation equipment 16 may be monitored and controlled by certainequipment for regulating control variables used to operate theindustrial automation equipment 16. For example, sensors 18 andactuators 20 may monitor various properties of the industrial automationequipment 16 and may adjust operations of the industrial automationequipment 16, respectively.

In some cases, the industrial automation equipment 16 may be associatedwith devices used by other equipment. For instance, scanners, gauges,valves, flow meters, and the like may be disposed on industrialautomation equipment 16. Here, the industrial automation equipment 16may receive data from the associated devices and use the data to performtheir respective operations more efficiently. For example, a controller(e.g., control/monitoring device 14) of a motor drive may receive dataregarding a temperature of a connected motor and may adjust operationsof the motor drive based on the data.

In certain embodiments, the industrial automation equipment 16 mayinclude a computing device and/or a communication component that enablesthe industrial equipment 16 to communicate data between each other andother devices. The communication component may include a networkinterface that may enable the industrial automation equipment 16 tocommunicate via various protocols such as EtherNet/IP, ControlNet,DeviceNet, or any other industrial communication network protocol.Alternatively, the communication component may enable the industrialautomation equipment 16 to communicate via various wired or wirelesscommunication protocols, such as Wi-Fi, mobile telecommunicationstechnology (e.g., 2G, 3G, 4G, and LTE), Bluetooth®, near-fieldcommunications technology, and the like.

The sensors 18 may be any number of devices adapted to provideinformation regarding process conditions. The actuators 20 may includeany number of devices adapted to perform a mechanical action in responseto a signal from a controller (e.g., the automation controller). Thesensors 18 and actuators 20 may be utilized to operate the industrialautomation equipment 16. Indeed, they may be utilized within processloops that are monitored and controlled by the control/monitoring device14 and/or the HMI 12. Such a process loop may be activated based onprocess inputs (e.g., input from a sensor 18) or direct operator inputreceived through the HMI 12. As illustrated, the sensors 18 andactuators 20 are in communication with the control/monitoring device 14.Further, the sensors 18 and actuators 20 may be assigned a particularaddress in the control/monitoring device 14 and receive power from thecontrol/monitoring device 14 or attached modules.

Input/output (I/O) modules 22 may be added or removed from the controland monitoring system 10 via expansion slots, bays or other suitablemechanisms. In certain embodiments, the I/O modules 22 may be includedto add functionality to the control/monitoring device 14, or toaccommodate additional process features. For instance, the I/O modules22 may communicate with new sensors 18 or actuators 20 added to monitorand control the industrial automation equipment 16. It should be notedthat the I/O modules 22 may communicate directly to sensors 18 oractuators 20 through hardwired connections or may communicate throughwired or wireless sensor networks, such as Hart or IOLink.

Generally, the I/O modules 22 serve as an electrical interface to thecontrol/monitoring device 14 and may be located proximate or remote fromthe control/monitoring device 14, including remote network interfaces toassociated systems. In such embodiments, data may be communicated withremote modules over a common communication link, or network, whereinmodules on the network communicate via a standard communicationsprotocol. Many industrial controllers can communicate via networktechnologies such as Ethernet (e.g., IEEE802.3, TCP/IP, UDP,EtherNet/IP, and so forth), ControlNet, DeviceNet or other networkprotocols (Foundation Fieldbus (H1 and Fast Ethernet) Modbus TCP,Profibus) and also communicate to higher level computing systems.

In the illustrated embodiment, several of the I/O modules 22 areconfigured to transfer input and output signals between thecontrol/monitoring device 14 and the industrial automation equipment 16.As illustrated, the sensors 18 and actuators 20 may communicate with thecontrol/monitoring device 14 via one or more of the I/O modules 22coupled to the control/monitoring device 14.

In certain embodiments, the control/monitoring system 10 (e.g., the HMI12, the control/monitoring device 14, the sensors 18, the actuators 20,the I/O modules 22) and the industrial automation equipment 16 may makeup an industrial application 24. The industrial application 24 mayinvolve any type of industrial process or system used to manufacture,produce, process, or package various types of items. For example, theindustrial applications 24 may include industries such as materialhandling, packaging industries, manufacturing, processing, batchprocessing, and the like.

In certain embodiments, the control/monitoring device 14 may becommunicatively coupled to a computing device 26 and a cloud-basedcomputing system 28. In this network, input and output signals generatedfrom the control/monitoring device 14 may be communicated between thecomputing device 26 and the cloud-based computing system 28.

FIG. 2 is a schematic representation of a communication network 30 thatenables devices to communicate with each other within an industrialapplication, in accordance with embodiments presented herein. As such,the communication network 30 enables devices that are part of theindustrial application 24 to communicate with each other and with otherdevices that are not part of the industrial application 24. As mentionedabove, the industrial application 24 may be in the material handling,packaging industries, manufacturing, processing, batch processing, orany technical field that employs the use of the industrial automationequipment 16.

With the foregoing in mind, in one embodiment, data acquired by theindustrial automation equipment 16 may be transmitted to a computingdevice 26. The computing device 26 may be a computing device that mayinclude communication abilities, processing abilities, and the like. Forexample, the computing device 26 may be any general computing devicethat may monitor, control, and/or operate one or more of the industrialautomation equipment 16. As such, the computing device 26 may be alaptop computer, a tablet computer, a mobile phone device computingdevice, a general personal computer, a wearable computing device, or thelike. Additional details regarding the computing device 26 will bediscussed below with reference to FIG. 3.

In addition to communicating with the industrial automation equipment16, the computing device 26 may also communicate with the cloud-basedcomputing system 28. The cloud-based computing system 28 may be acloud-accessible platform that may include one or more servers, one ormore computing devices (e.g., general purpose computers), and the like.In any case, the cloud-based computing system 28 may include a number ofcomputers that may be connected through a real-time communicationnetwork, such as the Internet, Ethernet, EtherNet/IP, ControlNet, or thelike, such that the multiple computers may operate together as a singleentity. The real-time communication network may include any network thatenables various devices to communicate with each other at near real-timeor such that data is communicated with each other at near instantaneousspeeds. In one embodiment, the cloud-based computing system 28 may becapable of communicating with the industrial automation equipment 16 andthe computing device 26. As such, the cloud-based computing system 28may be capable of wired or wireless communication between the industrialautomation equipment 16 and the computing device 26. In one embodiment,the cloud-based computing system 28 may be accessible via the Internetor some other network.

After establishing a communication connection between the computingdevice 26 and the industrial automation equipment 16 (e.g., via anassociated control/monitoring device 14 or computing device of theindustrial automation equipment 16), the cloud-based computing system 28may receive data acquired by the computing device 26 and the industrialautomation equipment 16. After receiving this data, in one embodiment,the cloud-based computing system 28 may perform large-scale dataanalysis operations on the data, such that the operations may bedistributed over the computers that make up the cloud-based computingsystem 28.

In another embodiment, the cloud-based computing system 28 may forwardacquired data or analyzed data to different computing devices, variousindustrial automation equipment 16, or the like. As such, thecloud-based computing system 28 may maintain a communication connectionwith various industrial automation equipment 16, computing devices 26,and the like. Additional details regarding the cloud-based computingsystem 28 will be discussed below with reference to FIG. 4.

FIG. 3 is a block diagram of a computing device, in accordance withembodiments presented herein. As depicted, the computing device 26includes a communication component 34, a processor 36, a memory 38, astorage component 40, and input/output (I/O) modules 42. Someembodiments of the computing device 26 may also have an image sensor(e.g., a camera) 44, a location sensor 46, and a display 48.

In some embodiments, the communication component 34 may enablecommunicatively coupling the computing device 26 to the communicationnetwork 30, for example, via a wired and/or a wireless connection. Morespecifically, the communication component 34 may convert data inaccordance with a network protocol used by the communication network 30and transmit the data over the communication network 30. Additionally,the communication component 34 may receive data from the communicationnetwork 30 and interpret the data based on the network protocol.

Additionally, the processor 36 may execute instructions and/or operateon data stored in the memory 38 and/or the storage component 40. Assuch, the processor 36 may include any type of processing circuitry(e.g., a computer processor or microprocessor) capable of executingcomputer-executable instructions. In certain embodiments, the processor34 may include multiple processors working together. Additionally, thememory may be any suitable tangible, non-transitory computer-readablemedium (e.g., an article of manufacture) capable of storingcomputer-executable instructions and/or data.

More specifically, in some embodiments, the processor 36 may executeinstructions to provide software applications that enable trackingand/or monitoring of the operation of the industrial automationequipment 16 and thus the industrial automation system 9. For example,in such instances, the software application may communicate with theautomation controller 14, one or more components of the control andmonitoring system 10 (e.g., a sensor 18), the industrial automationequipment 16, and/or another computing device 26 to determineoperational parameters of the industrial automation equipment 16.Additionally, in some embodiments, the software application may thenanalyze the operational parameters and/or present the operationalparameters to a user.

Additionally, in some embodiments, the processor 36 may executeinstructions to provide software applications that enable controllingoperation of the industrial automation equipment 16. For example, insuch instances, the software applications may determine a controlinstruction to perform a control action. The software applications maythen communicate the control instruction to the industrial automationequipment 16, thereby instructing the industrial automation equipment 16to perform the control action. In some embodiments, the controlinstruction may be determined by the computing device 26 and/or input bya user.

To enable communicating with the user, the I/O modules 42 may couple thecomputing device 26 to peripheral components. For example, the I/Omodules 42 may interface with input devices, such as a keyboard, amouse, buttons, or the HMI 12, which enable a user to input instructionsto the computing device 26. Additionally, in some embodiments, thedisplay 48 may be touch sensitive, which may enable a user to inputinstructions by interacting with the display 48. For example, a user mayselect a button graphical object (e.g., a virtual object) on the display48 to instruct the industrial automation system 9 to perform aparticular operation. In this manner, the user may input instructionsthat instruct the industrial automation system 9, for example, todetermine relevant information (e.g., operational parameters, identityinformation, status information, operational parameter information, orassessment information), perform a particular control action, execute aprocedure (e.g., an audit procedure, a lockout-tagout procedure, adevice offline procedure, a component replacement procedure, or aservice/maintenance procedure), or the like.

In addition to enabling user inputs, the display 48 may also present(e.g., provide) visualizations (e.g., graphical objects) associated witha software application. In some embodiments, the display 48 may displayinformation relevant to the industrial automation equipment 16 as agraphical object. For example, the display 48 may display operationalparameters of the industrial automation equipment 16 as a graphicalobject (e.g., a virtual object). In this manner, the display 48 mayenable a user to monitor operation of the industrial automationequipment 16. As such, the display 48 may be any suitable type ofdisplay, such as a liquid crystal display (LCD), a plasma display, or anorganic light emitting diode (OLED) display. As will be described inmore detail below, the display 48 may enable relevant information to bedisplayed to indicate an association with the industrial automationequipment 16. For example, relevant information (e.g., operationalparameters) may be displayed as text (e.g., a virtual object) adjacent avisual representation of corresponding industrial automation equipment16 (e.g., a real object).

To facilitate capturing the real object, the computing device 26 mayalso include an image sensor 44, such as a digital camera or other imageacquisition circuitry. More specifically, the image sensor 44 may becapable of capturing a visual representation of surrounding physicalfeatures, for example, as image data. As will be described in moredetail below, visual representations of a portion of the facility may betransmitted to another computing device 26 to enable remotely and/orautomatically identifying the industrial automation equipment 16 and/orproviding other relevant information.

Additionally, the computing device 26 may also include an audio sensor45, such as a microphone. More specifically, the audio sensor 45 may becapable of capturing a digital representation of surrounding sounds, forexample, as audio data. As will be described in more detail below, audiorepresentations of a portion of the facility may be transmitted toanother computing device 26 to enable remotely and/or automaticallyidentifying an industrial automation equipment 16 and/or providing otherrelevant information.

In some embodiments, the relevant information may be provided to thecomputing device 26 based at least in part on location of the computingdevice 26 and/or proximity to the industrial automation equipment 16.Accordingly, the computing device 26 may include a location sensor 46,such as a global positioning system (GPS) sensor, a radio frequencytransceiver, an infrared sensor, and the like. In some embodiments, thelocation sensor 46 may enable the computing device 26 to determine andprovide information relevant to particular industrial automationequipment 16 once the computing device 26 is within a certain distancefrom the particular industrial automation equipment 16.

Although the components described above have been discussed with regardto the computing device 26, it should be noted that similar componentsmay be used in the automation controller 14, the mobile computing device26, and the like. Moreover, the listed components are provided asexample components and the embodiments described herein are not to belimited to the components described with reference to FIG. 3. Morespecifically, the components included in each computing device 26 may bedependent on desired functionality of the computing device 26. Forexample, since a mobile computing device 26 may be deployed in closerproximity to the industrial automation equipment 16, the mobilecomputing device 26 may include various other sensors, such as anaccelerometer or a gas sensor, to provide additional information relatedits surrounding environment. Further, it should be noted again that thecomputing device 26 may be present within the industrial automationequipment 16 to monitor and control the operation of the industrialautomation equipment 16, as well as to participate in the communicationnetwork 30.

Additionally, a cloud-based computing system 28 may include facilitateautomated distribution of relevant information to one or more othercomputing devices 26. More specifically, in some embodiments, thecloud-based computing system 28 may receive data acquired by othercomputing devices 26 and/or the industrial automation equipment 16.After receiving this data, in some embodiments, the cloud-basedcomputing system 28 may perform large-scale data analysis operations onthe data. Additionally, the cloud-based computing system 28 may forwardthe acquired data and/or analyzed data to one or more other computingdevices 26, the automation controller 14, one or more industrialautomation equipment 16, or the like. As such, the cloud-based computingsystem 28 may include an expanded storage component 40 to store largeamounts of data, an expanded processor component 36 to facilitatelarge-scale data analysis, and/or a communication component 34 thatenables serving data to multiple computing devices 26.

FIG. 4 is a block diagram a cloud-based computing system, in accordancewith embodiments presented herein. As depicted, the cloud-basedcomputing system 28 includes a server 50, a database 52, and resources54. More specifically, in some embodiments, the server 50 maycommunicatively couple the cloud-based computing system 28 to one ormore other computing devices 26 to enable distribution of tasks andthereby facilitate processing efficiency. In this manner, the server 50may facilitate complex computations, such as large-scale data analysis.

Additionally, the database 52 may store information relevant to variousaspects of the industrial automation system 9, the industrial automationequipment 16, computing devices 26, operators 32, and the like. Morespecifically, the relevant information stored in the database mayfacilitate automated determination of an identity of the industrialautomation equipment 16, status information related to the industrialautomation equipment 16, facility status, procedure instructions,assessments (e.g., recommendation) information, or any combinationthereof.

For example, the database 52 may store an association betweenidentifying information and identity of the industrial automationequipment 16. Additionally, the database 52 may store procedureinstructions steps, tools/safety equipment to use, documentationrequirements, and the like to facilitate providing procedureinstructions. Furthermore, the database 52 may store desired operationof the industrial automation equipment 16, correspondence betweenundesired operation and likely causes, replacement part correspondence,regulations, associated costs, contact information for serviceprofessionals, assessment/recommendation instructions, and the like tofacilitate providing assessment/recommendation information for theindustrial automation equipment 16. The database 52 may also store otherinformation related to the industrial automation equipment 16, such aswarranty information, service contract information, operating manuals,part equivalences, update information, and other information that may beuseful to an operator.

In this manner, as will be described in more detail below, the database52 may facilitate determining information relevant to other computingdevices 26, the industrial automation equipment 16, and/or users 32. Forexample, the cloud-based computing system 28 may search the database 52using received identifying information to determine the identity of theindustrial automation equipment 16. Additionally, based on the identityof the industrial automation equipment 16, the cloud-based computingsystem 28 may search the database 52 to provide assessment information(e.g., service recommendations) or procedure instructions (e.g., LOTOprocedure instructions).

In some embodiments, the cloud-based computing system 28 may alsoinclude access to resources 54. More specifically, the resources 54 maybe a collection of published documents or webpages containinginformation that may be relevant to the industrial automation system 9,the industrial automation equipment 16, environmental conditions, andthe like. For example, the resources 54 may include informationregarding product recalls for the industrial automation equipment 16,weather advisory notices for the area around the facility, and the like.As such, in some embodiments, the resources 54 may be accessed by thecloud-based computing system 28 via a communication network, such as theInternet.

As will be described in more detail below, the resources 54 may provideadditional context for determining relevant information. For example,when a recall for the industrial automation equipment 16 is determinedvia the resources 54, the cloud-based computing system 28 may determinereplacement part recommendations and/or location of the recalledindustrial automation equipment 16. Additionally, when a weatheradvisory for the area around the facility is determined via theresources 54, the cloud-based computing system 28 may determinelockout-tagout (LOTO) procedure instructions to disconnect portions ofthe industrial automation system 9 that may be affected by inclementweather.

Determination of Relevant Information

FIG. 5 is a flow diagram of a method for communicating relevantinformation, in accordance with embodiments presented herein. Generally,the method 56 includes receiving industrial automation equipmentidentifying information (block 58), determining an identity of theindustrial automation equipment 16 (block 60), determining informationrelevant to the industrial automation equipment 16 (block 62), andtransmitting the relevant information (block 64). In some embodiments,the method 56 may be implemented by instructions stored in a tangible,non-transitory, computer-readable medium, such as the memory 38 or thestorage component 40, and executable by processing circuitry, such asprocessor 36. In other words, the method 56 may be implemented by one ormore computing devices 26.

To simplify the following discussion, the method 56 will be described inrelation to a mobile computing device 26 (e.g., a second computingdevice 26) and a cloud-based computing system 28 (e.g., a firstcomputing device 26). However, one of ordinary skill in the art shouldrecognize that the method 56 may be implemented by any combination ofsuitable computing devices 26.

For example, a cloud-based computing system 28 may receive identifyinginformation of the industrial automation equipment 16 (block 58). Insome embodiments, the cloud-based computing system 28 may receive theidentifying information from a mobile computing device 26. For example,the identifying information may include image data capturing a visualrepresentation of the industrial automation equipment 16, audio datacapturing a audio representation of the industrial automation equipment16, and/or an alphanumeric identifier received from the industrialautomation equipment 16, for example, via a near-field communication(NFC) transmitter. Accordingly, in some embodiments, the mobilecomputing device 26 may capture identifying information (e.g., imagedata or audio data) corresponding with the industrial automationequipment 16 via its image sensor 44 and/or audio sensor 45.Additionally, in some embodiments, the mobile computing device 26 mayreceive the identifying information (e.g., unique identifier)corresponding with the industrial automation equipment 16 from theindustrial automation equipment 16 or from a computing device disposedwithin the industrial automation equipment 16 via an NFC transmitter.

After determining the identifying information, the mobile computingdevice 26 may transmit (e.g., communicate) the identifying informationto the cloud-based computing system 28 via the communication network 30.Additionally, in some embodiments, mobile computing device 26 mayfacilitate presenting the identifying information to a user of themobile computing device 26 (e.g., a second user). For example, themobile computing device 26 may present the identifying information tothe user by displaying visual representations of captured image data onits display 48 and/or by outputting audio representations of capturedaudio data via speakers.

Based on the identifying information, the cloud-based computing system28 may determine the identity of the industrial automation equipment 16(block 60). As will be described in more detail below, the cloud-basedcomputing system 28 may determine identity of the industrial automationequipment 16 in a remote and/or automated manner. For example, thecloud-based computing system 28 may display the identifying informationon its display or on a display of a connected computing device andrequest its user (e.g., service professional or a first user) physicallyremote from the industrial automation equipment 16 to identify theindustrial automation equipment 16. Additionally, the cloud-basedcomputing system 28 may search its storage component 40 (e.g., database52) in an automated manner to match the identifying information with aknown identity of the industrial automation equipment 16.

After determining the identity of the industrial automation equipment16, the cloud-based computing system 28 may determine relevantinformation for the industrial automation equipment 16 (block 62). Asdescribed above, the relevant information may include various types ofinformation related to the industrial automation equipment 16 and/or theindustrial automation system 9, such as operational parameterinformation, status information, procedure instructions, and/orassessments information (e.g., recommendations or audit results). Aswill be described in more detail below, the cloud-based computing system28 may determine the relevant information in a remote and/or automatedmanner. For example, the cloud-based computing system 28 may request thefirst user to input the relevant information while physically remotefrom the industrial automation equipment 16. Additionally, thecloud-based computing system 28 may search its storage component 40(e.g., database 52) in an automated manner to determine the relevantinformation.

After determining the relevant information, the cloud-based computingsystem 28 may transmit the relevant information to the second computingdevice (block 64). That is the cloud-based computing system 28 maytransmit the relevant information to the mobile computing device 26 viathe communication network 30.

In addition to transmitting the relevant information, the cloud-basedcomputing system 28 may instruct the components of the industrialautomation system 9 (e.g., the cloud-based computing system 28, themobile computing device 26, one or more computing devices 26, theindustrial automation equipment 16, one or more users 32, the automationcontroller 14, or any combination thereof) to perform one or moreoperations based on the relevant information.

In some embodiments, the operations may include executing a step in theprocedure instructions, instructing the industrial automation equipment16 to execute the step in the procedure instructions, prompting a userto perform the step in the procedure instructions, displaying receivedoperational parameters, displaying received assessment information(e.g., audit results), or any combination thereof. Generally, theoperations performed may be based at least in part the type of therelevant information. For example, when the relevant informationincludes operational parameter information and/or assessmentinformation, a computing device 26 may display graphical objects (e.g.,virtual objects) to indicate the relevant information to its user.

Additionally, when the relevant information includes procedureinstructions, a computing device 26 may execute steps in the procedureinstructions and/or display a prompt requesting a user execute steps inthe procedure instructions. In some embodiments, the computing device 26may execute a step by instructing the industrial automation equipment 16to perform a control action. In this manner, the relevant informationmay be used to assess and/or control the industrial automation equipment16 in a remote and/or automated manner.

FIG. 6 is a flow diagram of a method for remotely providing relevantinformation, in accordance with embodiments presented herein. Generally,the method 66 includes receiving image data and/or audio data (block68), determining identity of the industrial automation equipment 16and/or surroundings (block 70), determining whether remote assessment isdesired (block 72), determining an assessment when remote assessment isdesired (block 74), determining whether procedure instructions aredesired (block 76), determining procedure instructions when procedureinstructions are desired (block 78), and transmitting identity, remoteassessment, and/or procedure instructions (block 80). In someembodiments, the method 66 may be implemented by instructions stored ina tangible, non-transitory, computer-readable medium, such as the memory38 or the storage component 40, and executable by processing circuitry,such as processor 36.

Accordingly, in such embodiments, the method 66 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 66 will be described in relation to a mobile computing device26 (e.g., a second computing device 26) and a cloud-based computingsystem 28 (e.g., a first computing device 26). However, one of ordinaryskill in the art should recognize that the method 66 may be implementedby any combination of suitable computing devices 26.

For example, the cloud-based computing system 28 may receive capturedimage data and/or audio data (block 68). In some embodiments, thecloud-based computing system 28 may be physically remote from thelocation the image data and/or audio data was captured. Accordingly, insuch embodiments, the cloud-based computing system 28 may receive theimage data and/or audio data from a mobile computing device 26 via thecommunication network 30. As described above, the mobile computingdevice 26 may capture visual representation of physical featuresproximate its image sensor 44 as image data and/or capture audiorepresentations of sounds proximate its audio sensor 45 as audio data.

Based on the received image data and/or audio data, the cloud-basedcomputing system 28 may determine the identity of the industrialautomation equipment 16 (block 70). In some embodiments, the cloud-basedcomputing system 28 may determine the identity of the industrialautomation equipment 16 by displaying graphical objects (e.g., via aconnected computing device) based on the image data and/or outputtingsound based on the audio data and requesting its user (e.g., a firstuser), who is physically remote from the industrial automation equipment16, to input the identity of the industrial automation equipment 16. Forexample, the cloud-based computing system 28 may display a visualrepresentation (e.g., real object) of the industrial automationequipment 16 captured by the image data and display a prompt (e.g., avirtual object) requesting the first user to input the identity of theindustrial automation equipment 16.

In this manner, the cloud-based computing system 28 may leverage theknowledge of the first user, who is physically remote from theindustrial automation equipment 16, to determine the identity of theindustrial automation equipment 16. In some embodiments, the cloud-basedcomputing system 28 may further leverage the knowledge of the first userby assisting the input of the industrial automation equipment 16identity. For example, based on the image data, the cloud-basedcomputing system 28 may determine physical dimensions and/or shapes ofthe industrial automation equipment 16. Additionally, a storagecomponent (e.g., database 52) may store associations between differenttypes of the industrial automation equipment 16 and their respectivephysical dimensions. Accordingly, in such embodiments, the cloud-basedcomputing system 28 may search the storage component based on thephysical dimensions and/or shapes determined from the image data todetermine possible identities of the industrial automation equipment 16,which may then be provided (e.g., as virtual objects) to the first user.In addition to physical dimensions and/or shapes of the industrialautomation equipment 16, the storage component (e.g., database 52) mayalso store additional information that may be used to determine theidentity of the industrial automation equipment 16. For example, thestorage component may include data related to a preferred arrangement ofthe industrial automation equipment 16, devices and/or facilitycomponents (e.g., pipelines, exits, light fixtures) typically disposednear the industrial automation equipment 16, location informationregarding the industrial automation equipment 16, and the like. Thisinformation may assist the cloud-based computing system 28 to determinethe identity of the industrial automation equipment 16.

Similarly, based on the audio data, the cloud-based computing system 28may determine a sound profile of the industrial automation equipment 16.Additionally, a storage component (e.g., database 52) may storeassociations between the industrial automation equipment 16 and theirrespective sound profiles. Accordingly, in such embodiments, thecloud-based computing system 28 may search the storage component basedon the sound profile determined from the audio data to determinepossible identities of the industrial automation equipment 16, which maythen be provided (e.g., as virtual objects) to the first user. Thecloud-based computing system 28 may then determine the identity of theindustrial automation equipment 16 when the first user selects one ofthe provided suggestions or inputs a different identity.

Based on the received image data and/or audio data, the cloud-basedcomputing system 28 may also determine the surroundings of theindustrial automation equipment 16 (block 70). More specifically, inaddition to the industrial automation equipment 16 itself, the imagedata and/or audio data may also capture a visual representation and anaudio representation, respectively, of features surrounding theindustrial automation equipment 16, such as adjacent industrialautomation equipment 16 and/or environmental conditions (e.g.,environmental noise). As will be described in more detail below, thesurroundings may be used when determining relevant information for theindustrial automation equipment 16. In some embodiments, the cloud-basedcomputing system 28 may determine identity of adjacent industrialautomation equipment 16 by displaying the visual representations (e.g.,real objects) captured by the image data and/or outputting soundcaptured by the audio data and requesting the first user to input theidentity of captured adjacent industrial automation equipment 16 and/orenvironmental conditions (e.g., debris or smoke).

It should be noted that when focused on a particular piece of industrialautomation equipment 16, the image data may predominantly capture theindustrial automation equipment 16. In other words, the surroundingphysical features may be incompletely captured by the image data. Assuch, to facilitate determining the surroundings, the cloud-basedcomputing system 28 may leverage the knowledge of the first user and/orother relevant information. For example, the cloud-based computingsystem 28 may request the first user to input the likely identity oridentities of displayed debris based at least in part on personalknowledge. Leveraging the first user may be particularly useful whenonly portions of the surroundings are captured because the first usermay extrapolate the captured portions based on his/her personalknowledge.

Nevertheless, in some embodiments, the cloud-based computing system 28may further leverage the knowledge of the first user by assisting theinput of the identity of the surroundings, thereby improving efficiency.For example, the cloud-based computing system 28 may determine physicaldimensions of the portions of surrounding industrial automationequipment captured by the image data. Accordingly, when a storagecomponent (e.g., database 52) stores association between the industrialautomation equipment 16 and their physical dimensions, the cloud-basedcomputing system 28 may search the storage component to determinepossibility identities of surrounding automation equipment.

Since the image data may capture only a portion of surrounding theindustrial automation system 9, the cloud-based computing system 28 mayuse the identity of the identified industrial automation equipment 16 tofacilitate determining possible identities of the surroundings (e.g.,other automation equipment 16) in the industrial automation system 9.For example, the cloud-based computing system 28 may determine the typesof automation equipment 16 that normally surround the identifiedindustrial automation equipment 16, a list of the industrial automationequipment 16 in a facility containing the identified industrialautomation equipment 16, or the like. The cloud-based computing system28 may then determine the identity of the surroundings of the industrialautomation equipment 16 when the first user selects one of the providedsuggestions or inputs a different identity.

Additionally, the cloud-based computing system 28 may instruct themobile computing device 26 to adjust the capture of the image data tomore completely capture the surrounding features. In response, in someembodiments, the mobile computing device 26 may relay the instruction tothe second user (e.g., user) by displaying a prompt (e.g., as a virtualobject) on its display 50. As such, the cloud-based computing system 28may facilitate determining identity of the industrial automationequipment 16 and/or surroundings based on shape (e.g., dimension)recognition technology, audio recognition technology, expectedindustrial automation equipment, or the like.

The cloud-based computing system 28 may then determine whether a remoteassessment of the industrial automation equipment 16 is desired (block72). As used herein, a “remote assessment” is intended to describe anassessment (e.g., an audit) performed on the industrial automationequipment 16 by a user physically remote from the industrial automationequipment 16.

In some embodiments, the cloud-based computing system 28 may receive anindication whether the remote assessment is desired from the mobilecomputing device 26. For example, in such embodiments, the second usermay input a request (e.g., as digital signal) to the mobile computingdevice 26 when a remote assessment is desired. The mobile computingdevice 26 may then communicate the request to the cloud-based computingsystem 28 via the communication network 30. Based on the receivedrequest, the cloud-based computing system 28 may determine that theremote assessment is desired. In some embodiments, the cloud-basedcomputing system 28 may also provide an indication to the first userthat the remote assessment is desired by displaying a prompt (e.g., as avirtual object) on its display 50.

When a remote assessment is desired, the cloud-based computing system 28may receive the remote assessment (block 74). In some embodiments, thecloud-based computing system 28 may display visual representationscaptured by the image data and/or output sound captured by the audiodata and request the first user to input the remote assessment. Morespecifically, displaying the visual representations and sound may enablethe first user to view and hear the industrial automation equipment 16and/or surrounding industrial automation equipment 16 in operation.

Accordingly, in some embodiments, the cloud-based computing system 28may leverage the knowledge of the first user to facilitate providing theremote assessment. For example, the cloud-based computing system 28 mayreceive an inputted assessment from the first user, which may includeservice recommendations to maintain or troubleshoot operation of thedisplayed industrial automation equipment 16 (block 82), optimizationrecommendations for improving operation of the associated industrialautomation system (block 84), and/or parts recommendations for use inthe industrial automation equipment 16 (block 86). Moreover, thecloud-based computing system 28 may receive an estimated quote forimplementing any of the recommendations from the first user. The quotemay include parts requirements, parts costs, service costs, labor costs,and the like (block 88).

Additionally, in some embodiments, the cloud-based computing system 28may further leverage the personal knowledge of the first user, therebyimproving quality and/or efficiency of the remote assessment. Forexample, the cloud-based computing system 28 may search a storagecomponent 40 (e.g., database 52) to provide the first user criteria,checklists, and/or procedure instructions for providing the remoteassessment (e.g., as a virtual object).

The cloud-based computing system 28 may also determine whether procedureinstructions are desired (block 76). As discussed above, procedureinstructions may include steps that are executed to perform an operationin the industrial automation system, such as a lockout-tagout procedure,servicing procedure instructions, a maintenance procedure,troubleshooting procedure instructions, an assessment, or the like.

In some embodiments, the cloud-based computing system 28 may receive anindication whether the procedure instructions are desired (block 76)from the mobile computing device 26. For example, in such embodiments,the second user may input a request (e.g., as digital signal) to themobile computing device 26 when procedure instructions are desired. Themobile computing device 26 may then communicate the request to thecloud-based computing system 28 via the communication network 30. Basedon the received request, the cloud-based computing system 28 maydetermine that procedure instructions are desired. In some embodiments,the cloud-based computing system 28 may also provide an indication tothe first user that procedure instructions are desired by displaying aprompt (e.g., as a virtual object) on its display 50.

When procedure instructions are desired, the cloud-based computingsystem 28 may determine the procedure instructions (block 78) to provideto the mobile computing device 26. In some embodiments, the cloud-basedcomputing system 28 may display the visual representations captured bythe image data and/or output sound captured by the audio data andrequest the first user to input the procedure instructions.Additionally, in some embodiments, the procedure instructions mayinclude steps in the procedure, location of the industrial automationequipment 16, tools/safety equipment to use, related documentation, andthe like. As described above, displaying the visual representationscaptured by the image data and/or outputting sound captured by the audiodata may enable the first user to view and/or hear the industrialautomation equipment 16 and surrounding industrial automation equipment16 in operation.

Accordingly, in some embodiments, the cloud-based computing system 28may leverage the knowledge of the first user to facilitate providing theremote assessment. For example, after receiving an indication thatprocedures are desired, the cloud-based computing system 28 may receivelockout-tagout (LOTO) procedure instructions as input from the firstuser (block 90). That is, the cloud-based computing system 28 maydisplay a request to the first user to input LOTO procedures for anassociated industrial automation equipment 16. The LOTO procedureinstructions may include steps on how to disconnect the industrialautomation equipment 16, where to put tags indicating the lockout, alocation of the industrial automation equipment 16, tools to use todisconnect the industrial automation equipment 16, safety equipment touse, and the like. Additionally, the cloud-based computing system 28 mayreceive service procedure instructions, maintenance procedureinstructions, and/or troubleshooting procedure instructions (block 92)in the same manner as described above. In this way, leveraging the firstuser may be useful when set procedure instructions are not in placebecause the first user may use his/her experience and expertise toanalyze the industrial automation equipment 16.

In turn, in some embodiments, the first user may send a message to themobile computing device 26 to provide updated image data and/or audiodata that may be used for future procedures (e.g., lockout tagout). Forexample, when providing lockout-tagout instructions, the first user orthe cloud-based computing system 28 may forward an electronic documentor a software application that details the requested procedure to themobile computing device 26. In some embodiments, the cloud-basedcomputing system 28 or the first user may request that the second userprovide new image data or audio data that may be used to update theelectronic document or software application. As such, the display 48 ofthe mobile computing device 26 may depict instructions to acquire imagedata or audio data for some part of the electronic document or softwareapplication. Upon receiving the requested image data or audio data, themobile computing device 26 may transmit the data to the cloud-basedcomputing system 28. At that time, the cloud-based computing system 28or the first user may update the electronic document or softwareapplication using the recently acquired image data and/or audio data. Inaddition, the newly acquired image data and audio data may be stored ina storage component, such that it may be used to identify the industrialautomation equipment 16 or provide additional information regarding theindustrial automation equipment 16 for future use.

For instance, in some embodiments, the cloud-based computing system 28may further leverage the knowledge of the first user by assisting theinput of procedure instructions, thereby improving efficiency. Forexample, the cloud-based computing system 28 may search its storagecomponent 40 (e.g., database 52) to provide the first user relatedprocedure instructions and/or other relevant information, such as thelayout of the facility or operation manuals. In other embodiments, thecloud-based computing system 28 may retrieve previously entered orstored procedure instructions for the respective industrial automationequipment 16.

After determining the procedure instructions or determining that theprocedure instructions are not desired, the cloud-based computing system28 may then transmit the identity of the industrial automation equipment16, the remote assessment (when desired), and the procedure instructions(when desired) (e.g., relevant information) (block 80). In someembodiments, the cloud-based computing system 28 may transmit therelevant information to the mobile computing device 26 via thecommunication network 30.

Based on the received relevant information, the mobile computing device26 may then perform various operations. For example, the mobilecomputing device 26 may provide the identity, assessment, and/orprocedure instructions to the second user by displaying graphicalobjects (e.g., virtual objects) on its display 48. Additionally, themobile computing device 26 may execute the procedure instructions, forexample, to instruct the industrial automation equipment 16 to perform acontrol action, run a troubleshooting procedure on the industrialautomation equipment 16, and/or perform an audit on the industrialautomation equipment 16 and/or the industrial automation system.

In this manner, the image data and/or audio data may enable thecloud-based computing system 28, which may be physically remote from theindustrial automation equipment 16, to remotely determine relevantinformation (e.g., identity, assessment, and/or procedure instructions).Thus, costs (e.g., time) associated with determining the relevantinformation may be reduced, for example, by enabling determination ofthe relevant information without the first user being physically locatedwithin a close proximity of the industrial automation equipment 16. Insome embodiments, using the techniques described below, the cloud-basedcomputing system 28 may further facilitate the determination of therelevant information by displaying visual representations (e.g., realobjects) captured by the image data superimposed with virtual objectsindicating other relevant information (e.g., operational parameters). Insuch embodiments, the efficiency for determining the relevantinformation may be facilitated by consolidating presentation of relevantinformation.

In addition to remote determination of relevant information,communication of relevant information in the industrial automationsystem may be facilitated by enabling automated determination of therelevant information. FIG. 7 is a flow diagram of a method for providingrelevant information in an automated manner, in accordance withembodiments presented herein. Generally, the method 94 includesreceiving captured image data and/or audio data (block 96), determiningidentity of industrial automation equipment 16 (block 98), determiningwhether operational parameter information is desired (block 100),determining the operational parameter information when operationalparameter information is desired (block 102), determining whetherprocedure instructions are desired (block 104), determining procedureinstructions when procedure instructions are desired (block 106),determining whether automated assessment is desired (block 108),determining an assessment when automated assessment is desired (block110), and transmitting identity, operational parameter information,procedure instructions and/or an assessment information (block 112). Insome embodiments, the method 94 may be implemented by instructionsstored in a tangible, non-transitory, computer-readable medium, such asthe memory 38 or the storage component 40, and executable by processingcircuitry, such as processor 36.

Accordingly, in such embodiments, the method 94 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 94 will be described in relation to a mobile computing device26 (e.g., a second computing device 26) and a cloud-based computingsystem 28 (e.g., a first computing device 26). However, one of ordinaryskill in the art should recognize that the method 94 may be implementedby any combination of suitable computing devices 26.

For example, a cloud-based computing system 28 may receive capturedimage data and/or audio data (block 96). In some embodiments, thecloud-based computing system 28 may receive the captured image dataand/or audio data from the mobile computing device 26 via thecommunication network 30. More specifically, the mobile computing device26 may capture a visual representation of the industrial automationequipment 16 proximate its image sensor 44 and/or an audiorepresentation of the industrial automation equipment 16 proximate itsaudio sensor 45.

As discussed above, the mobile computing device 26 may capture imagedata and/or audio data to facilitate identifying the capturedrepresentation of the industrial automation equipment 16. Additionally,the mobile computing device 26 may receive other identifying information(e.g., image data, audio data, and a unique identifier) from theindustrial automation equipment 16 via a NFC transmitter.

Based the image data, audio data, and/or other identifying information,the cloud-based computing system 28 may determine the identity of theindustrial automation equipment 16 (block 98). As discussed above, thecloud-based computing system 28 may determine physical dimensions of theindustrial automation equipment 16 based at least in part on the imagedata. Additionally, a storage component 40 (e.g., database 52) may storeassociations between the industrial automation equipment 16 andcorresponding physical dimensions. In some embodiments, the physicaldimensions or shape information may be received from the industrialautomation equipment 16 in the facility, a manufacturer, and/or othercomputing devices 26. Accordingly, in such embodiments, the cloud-basedcomputing system 28 may search the storage component 40 based on thephysical dimensions determined from the image data to determine identityof the industrial automation equipment 16.

Additionally, as discussed above, the cloud-based computing system 28may determine a sound profile of the industrial automation equipment 16based at least in part on the audio data. The storage component may alsostore associations between industrial automation equipment 16 andcorresponding sound profiles. In some embodiments, the sound profilesmay be received from the industrial automation equipment 16 in thefacility, a manufacturer, and/or other computing devices 26.Accordingly, in such embodiments, the cloud-based computing system 28may search the storage component 40 based on the sound profiledetermined from the audio data to determine the identity of theindustrial automation equipment 16. In this manner, the cloud-basedcomputing system 28 may determine the identity of the industrialautomation equipment 16 in an automated manner, thereby improvingefficiency.

The cloud-based computing system 28 may then determine whetheroperational parameter information is desired (block 100). In someembodiments, the cloud-based computing system 28 may receive anindication whether operational parameter information is desired from themobile computing device 26. For example, in such embodiments, the seconduser may input a request (e.g., as digital signal) to the mobilecomputing device 26 when operational parameter information is desired.The mobile computing device 26 may then communicate the request to thecloud-based computing system 28 via the communication network 30. Basedon the received request, the cloud-based computing system 28 maydetermine that operational parameter information is desired.

When operational parameter information is desired, the cloud-basedcomputing system 28 may determine the operational parameter information(block 102) based at least in part on identity of the industrialautomation equipment 16. In some embodiments, the cloud-based computingsystem 28 may store associations between the identities of theindustrial automation equipment 16 and associated operational parameterinformation, such as location of the industrial automation equipment 16in the facility and/or status of the industrial automation equipment 16,in its storage component 40 (e.g., database 52). More specifically, insome embodiments, the cloud-based computing system 28 may receive theoperational parameter information from the industrial automationequipment 16 in a facility, the automation controller 14, or anothercomputing device 26.

Additionally, in some embodiments, the cloud-based computing system 28may store associations between the identities of the industrialautomation equipment 16 and identities of a facility in which theindustrial automation equipment 16 is located in its storage component40. Furthermore, in some embodiments, the cloud-based computing system28 may store associations between the identities of the facilities andassociated operational parameter information, such as such as componentcounts, facility layout, facility status, and/or external conditions, inits storage component 40 (e.g., database 52). Accordingly, in suchembodiments, the cloud-based computing system 28 may leverage itsautomated searching capabilities to facilitate determining theoperational parameter information, thereby improving efficiency.

To help illustrate, the cloud-based computing system 28 may determinethe operational parameter information associated with the industrialautomation equipment 16 by searching its storage component 40 using theidentity of the industrial automation equipment 16. For example, thecloud-based computing system 28 may search its storage component 40 todetermine the industrial automation equipment 16 location (block 114).In some embodiments, the industrial automation equipment 16 location mayinclude the GPS coordinates of the industrial automation equipment 16and/or relationship information regarding a location of the industrialautomation equipment 16 with respect to a location of the mobilecomputing device 26.

The cloud-based computing system 28 may also search its storagecomponent to determine status information regarding the industrialautomation equipment 16 (block 116). In some embodiments, the statusinformation may include information regarding whether the industrialautomation equipment 16 or various parts used in the industrialautomation equipment 16 are in operation, whether the industrialautomation equipment 16 or the parts therein are functioning properly,whether the industrial automation equipment 16 or the parts therein areobsolete, or the like. The industrial automation equipment 16 or theparts therein may be obsolete when a firmware/software update isavailable for download, when parts for the industrial automationequipment 16 are in limited supply, when a part is no longer underwarranty, when a newer version of a part or the industrial automationequipment 16 is available, or the like.

Additionally, in some embodiments, the cloud-based computing system 28may determine operational parameters associated with a facility in whichthe industrial automation equipment 16 is located by searching itsstorage component using the identity of the industrial automationequipment 16 and/or identity of the facility. For example, thecloud-based computing system 28 may search its storage component 40 todetermine facility component counts (block 118). In some embodiments,the component counts may include the number of a particular industrialautomation equipment 16 in the facility and/or a total number of theindustrial automation equipment 16 in the facility. Additionally, thecloud-based computing system 28 may search its storage component 40 todetermine a facility layout (block 120). In some embodiments, thefacility layout may include physical layout of the facility, electricallayout of the facility, material movement layout of the facility, or thelike. Furthermore, the cloud-based computing system 28 may also searchits storage component to determine facility status (block 122). In someembodiments, the facility status may include information regardingwhether the facility is in operation, whether the facility isfunctioning properly, whether the facility is obsolete, or the like.

Moreover, the cloud-based computing system 28 may search its storagecomponent 40 to determine a physical location of the facility. Based onthe physical location, the cloud-based computing system 28 may searchits storage component 40 (e.g., resources 54) to determine external(e.g., environmental) conditions surrounding the facility. For example,the cloud-based computing system 28 may determine that a storm isapproaching the facility.

Additionally, the cloud-based computing system 28 may determine whetherprocedure instructions are desired (block 104). In some embodiments, thecloud-based computing system 28 may receive an indication that theprocedure instructions are desired from the mobile computing device 26.For example, in such embodiments, the second user may input a request(e.g., via digital signal) to the mobile computing device 26 whenprocedure instructions are desired. The mobile computing device 26 maythen communicate the request to the mobile computing device 26 via thecommunication network 30. Based on the received request, the cloud-basedcomputing system 28 may determine that procedure instructions aredesired.

When procedure instructions are desired, the cloud-based computingsystem 28 may determine the procedure instructions (block 106). In someembodiments, the cloud-based computing system 28 may store associationsbetween the industrial automation equipment 16 and related procedureinstructions. Additionally, in some embodiments, the cloud-basedcomputing system 28 may receive the procedure instructions from theindustrial automation equipment 16 in a facility, a manufacturer,another computing device 26, or any combination thereof.

Accordingly, in such embodiments, the cloud-based computing system 28may leverage the automated searching capabilities to facilitatedetermining the procedure instructions, thereby improving efficiency.More specifically, the cloud-based computing system 28 may determineprocedure instructions associated with the industrial automationequipment 16 by searching its storage component using at least theidentity of the industrial automation equipment 16. For example, thecloud-based computing system 28 may search its storage component 40 todetermine lockout-tagout (LOTO) procedure instructions (block 126).

As discussed above, the procedure instructions may include steps in theprocedure, location of the industrial automation equipment 16,tools/safety equipment to use, documentation requirements, and the like.Accordingly, continuing with the LOTO procedure instructions example,the cloud-based computing system 28 may determine steps on how todisconnect the industrial automation equipment 16, where to put tagsindicating the lockout, location of the industrial automation equipment16, tools to use to disconnect the industrial automation equipment 16,safety equipment to use, and the like. In a similar manner, thecloud-based computing system 28 may also facilitate automateddetermination of service procedure instructions, maintenance procedureinstructions, and/or troubleshooting procedure instructions (block 128).

The cloud-based computing system 28 may also determine the procedureinstructions based at least in part on operational parameterinformation. More specifically, the operational parameter informationmay provide context used by the cloud-based computing system 28 todetermine the procedure instructions. For example, the cloud-basedcomputing system 28 may determine procedure instructions that includedirections steps to guide the user from a current physical location toan end physical location, such as the location of the industrialautomation equipment 16 (block 130). Accordingly, the cloud-basedcomputing system 28 may determine the directions steps based at least inpart on the location of the industrial automation equipment 16, thelocation of the user, and the facility layout.

FIG. 8 is a flow diagram of a method for determining procedureinstructions, in accordance with embodiments presented herein.Generally, the method 132 includes determining relevant operationalparameter information (block 134), optionally providing a notificationof the relevant operational parameter information (block 136), anddetermining procedure instructions based at least in part on therelevant operational parameter information (block 138). In someembodiments, the method 132 may be implemented by instructions stored ina tangible, non-transitory, computer-readable medium, such as the memory38 or the storage component 40, and executable by processing circuitry,such as processor 36.

Accordingly, in such embodiments, the method 132 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 132 will be described in relation to a mobile computingdevice 26 (e.g., a second computing device 26) and a cloud-basedcomputing system 28 (e.g., a first computing device 26). However, one ofordinary skill in the art should recognize that the method 132 may beimplemented by any combination of suitable computing devices 26.

For example, a cloud-based computing system 28 may determine operationalparameter information relevant to determining procedure instructions(block 134). More specifically, the cloud-based computing system 28 maydetermine what operational parameter information is relevant to the userbased at least in part on the desired procedure instructions. In someembodiments, the operational parameter information may provide contextto generate the procedure instructions. For example, when determiningprocedure instructions to the user from a current physical location to adesired physical location, the cloud-based computing system 28 maydetermine that the relevant operational parameter information, such aslocation of the industrial automation equipment 16 and facility layoutinformation, used to generate direction steps in the procedureinstructions.

In other embodiments, the operational parameter information may providecontext regarding when specific procedure instructions should bedetermined. For example, when external conditions indicate that a stormis approaching the facility, the cloud-based computing system 28 maydetermine lockout-tagout (LOTO) procedure instructions to facilitateshutting down the industrial automation equipment 16. In certainembodiments, the industrial automation equipment 16 may provide LOTOprocedures involved with shutting itself down to the cloud-basedcomputing system 28 or other communication network 30-connected devices.Additionally, when the industrial automation equipment 16 statusindicates that the firmware/software is out of date (e.g., obsolete),the cloud-based computing system 28 may determine service procedureinstructions to update the firmware/software of the industrialautomation equipment 16. Furthermore, when the industrial automationequipment 16 status indicates that parts for the automation are inlimited supply (e.g., obsolete), the cloud-based computing system 28 maydetermine replacement parts to use in the industrial automationequipment 16.

In some embodiments, the cloud-based computing system 28 may determinethat procedures (e.g., maintenance, service, LOTO) related to theindustrial automation equipment 16 may be out of date or may benefitfrom an update. As such, the cloud-computing system 27 may provideinformation to the mobile computing device 26 to acquire updated imagedata and/or audio data for various steps used in the procedures. Thecloud-based computing system 28 may then update the procedures, relatedsoftware applications, and/or related electronic documents regarding theindustrial automation equipment 16.

In some embodiments, the cloud-based computing system 28 may facilitateproviding a notification of the relevant operational parameterinformation (block 136). For example, in some embodiments, thecloud-based computing system 28 may communicate the relevant operationalparameter information to the mobile computing device 26, for example,via the communication network 30. The mobile computing device 26 maythen provide a notification to the user by displaying the relevantoperational parameter information (e.g., as virtual objects) on itsdisplay 48. For example, with regard to directions, the mobile computingdevice 26 may display the location of the industrial automationequipment 16 and/or direction steps to travel from the current locationof the mobile computing device 26 to the location of the industrialautomation equipment 16. Additionally, the mobile computing device 26may display a virtual object indicating a location of the industrialautomation equipment 16 that may be of interest. For example, whenviewing the image data being acquired by the mobile computing device 26,a virtual object may highlight the industrial automation equipment 16 ofinterest by adding a color to highlight real object representation ofthe industrial automation equipment 16. Additionally, if the industrialautomation equipment 16 of interest is out of the view of the display ofthe industrial automation equipment 16, a virtual object indicating anarrow or direction in which the industrial automation equipment 16 maybe located may be added to the display.

Based on the relevant operational parameter information, the cloud-basedcomputing system 28 may determine procedure instructions (block 138). Insome embodiments, the cloud-based computing system 28 may storeassociations between the relevant operational parameter information andprocedure instructions in its storage component 40 (e.g., database 52).Accordingly, in such embodiments, the cloud-based computing system 28may leverage its automated searching capabilities to facilitatedetermining the procedure instructions, thereby improving efficiency.

Thus, in some embodiments, the cloud-based computing system 28 maydetermine the procedure instructions by searching its storage component40 using at least the relevant operational parameter information. Forexample, the cloud-based computing system 28 may search its storagecomponent 40 using the indication of an approaching storm to determineLOTO procedure instructions for the industrial automation equipment 16that may not operate properly when certain storm conditions are present.

Additionally, in some embodiments, the cloud-based computing system 28may analyze the relevant operational parameter information to determinethe procedure instructions. For example, when determining directionsteps in procedure instructions, the cloud-based computing system 28 mayanalyze the current location of the industrial automation equipment 16and the location of the mobile computing device 26. More specifically,in some embodiments, the cloud-based computing system 28 may analyze thelocations to determine the location of the industrial automationequipment 16 relative to the current location of the mobile computingdevice 26. Based on this analysis, the cloud-based computing system 28may determine directions steps that may be performed to move from thecurrent location of the mobile computing device 26 to the location ofthe industrial automation equipment 16. In this manner, the relevantoperational parameter information may provide context (e.g., relativelocations) used to determine the procedure instructions.

Returning to the method 94 of FIG. 7, the cloud-based computing system28 may also enable tracking execution progress of the procedureinstructions (process block 140). For example, in some embodiments, thecloud-based computing system 28 may provide the procedure instructionsto the mobile computing device 26 one step at a time. More specifically,the cloud-based computing system 28 may wait for confirmation from themobile computing device 26, the industrial automation equipment 16, orthe user that a step in the procedure instructions is completed beforeproviding a next step in the procedure instructions. In this manner, thecloud-based computing system 28 may keep track of what steps have beenproperly executed and, thus, the execution progress of the procedureinstructions.

FIG. 9 is a flow diagram of a method for tracking execution of procedureinstructions, in accordance with an embodiment presented herein.Generally, the method 142 includes beginning to provide procedureinstructions (block 144), providing one step of the procedureinstructions (block 146), determining whether a confirmation ofexecution has been received (block 148), optionally indicating executionof the step when confirmation of execution has been received (block150), determining whether any steps remain in the procedure instructions(block 152), and stop providing procedure instructions when steps do notremain in the procedure instructions (block 154). In some embodiments,the method 142 may be implemented by instructions stored in a tangible,non-transitory, computer-readable medium, such as the memory 38 or thestorage component 40, and executable by processing circuitry, such asprocessor 36.

Accordingly, in such embodiments, the method 142 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 142 will be described in relation to a mobile computingdevice 26 (e.g., a second computing device 26) and a cloud-basedcomputing system 28 (e.g., a first computing device 26). However, one ofordinary skill in the art should recognize that the method 142 may beimplemented by any combination of suitable computing devices 26.

For example, the cloud-based computing system 28 may begin transmittingprocedure instructions (block 144) to the mobile computing device 26.More specifically, the cloud-based computing system 28 may begintransmitting the procedure instructions after determining the procedureinstructions, for example, by searching its storage component 40 (e.g.,database 52).

After determining the procedure instructions, the cloud-based computingsystem 28 may transmit a step of the procedure instructions (block 146)to the mobile computing device 26. In some embodiments, the cloud-basedcomputing system 28 may transmit the step of the procedure instructionto the mobile computing device 26 via the communication network 30. Themobile computing device 26 may then facilitate execution of the step ofthe procedure instructions. In some embodiments, the mobile computingdevice 26 may execute the step in an automated manner. Additionally, insome embodiments, the mobile computing device 26 may request its user toexecute the step of the procedure instructions, for example, bydisplaying a prompt (e.g., as a virtual object) on its display 48.

The cloud-based computing system 28 may then wait to receiveconfirmation of successful execution of the step (block 148). In someembodiments, the cloud-based computing system 28 may wait for a signaltransmitted from the mobile computing device 26 to indicate that thestep has been successfully executed. For example, when the mobilecomputing device 26 executes the step in an automated manner, the mobilecomputing device 26 may automatically transmit the signal to thecloud-based computing system 28 upon completion of each step. On theother hand, when the user is involved in executing the step, the mobilecomputing device 26 may receive a user input indicating successfulexecution and automatically transmit the signal to the cloud-basedcomputing system 28.

In some embodiments, the signal may indicate successful completion ofthe step. In other embodiments, the signal may include image data and/oraudio data captured during execution of the step. In such embodiments,the cloud-based computing system 28 may analyze the captured image dataand/or audio data to determine whether the step has been properlyexecuted. In this manner, the cloud-based computing system 28 may ensureexecution quality of the procedure instructions.

Once execution confirmation is received, the cloud-based computingsystem 28 may optionally indicate execution of the step (block 150) toone or more users 32. For example, the cloud-based computing system 28may display a graphical object (e.g., a virtual object) on its display48 to indicate execution of the step. Additionally, in some embodiments,the cloud-based computing system 28 may transmit an indication of theexecution to another computing device 26 via the communication network30. In this manner, the cloud-based computing system 28 may enable users32 and/or other computing devices 26 to also keep track of executionprogress.

To help illustrate, in lockout-tagout context, multiple users 32 (e.g.,operators) may work together to disable multiple industrial automationequipment 16. For example, in a lockout-tagout procedure, a first userand a second user may be responsible for disabling a total of tendifferent industrial automation equipment 16. To facilitate keepingtrack of progress, the first user may have a first mobile computingdevice 26 and the second user may have a second computing device 26 thateach displays a list of the ten different industrial automationequipment 16.

For example, when the first user successfully disables a motor (e.g.,the industrial automation equipment 16), the first user may indicatecompletion by selecting a motor entry displayed on the first computingdevice 32. The first computing device 32 may then communicate (e.g.,directly or via the cloud-based computing system 28) the disabling ofthe motor to the second computing device 32 and the second computingdevice 32 may visually indicate that the motor has been disabled, forexample, by striking out the motor entry on the second computing device32. In this manner, the computing devices 26 may enable multiple users32 to keep track of the overall progress of the lockout-tagoutprocedure, thereby reducing the likelihood of duplicate efforts.

The cloud-based computing system 28 may then determine whether there areany remaining steps in the procedure instructions (block 152). If stepsremain, the cloud-based computing system 28 may provide the next step inthe procedure instructions to the mobile computing device 26 (block146). On the other hand, if no steps remain, the cloud-based computingsystem 28 may stop providing the procedure instructions (block 154). Inthis manner, execution progress of procedure instructions may betracked.

Returning to the method 94 of FIG. 7, the cloud-based computing system28 may also facilitate creating/updating procedure instructions (block156). More specifically, the cloud-based computing system 28 may createprocedure instructions when the cloud-based computing system 28 isunable to determine a requested procedure instruction and/or in responseto receiving a request to create procedure instructions. Additionally,the cloud-based computing system 28 may update procedure instructionsperiodically and/or in response to receiving a request to updateprocedure instructions.

FIG. 10 is a flow diagram of a method for generating and/or updatingprocedure instructions, in accordance with an embodiment presentedherein. Generally, the method 158 includes determining related procedureinstructions (block 160), instructing performance of the relatedprocedure instructions (block 162), and storing procedure instructions(block 164). In some embodiments, the method 158 may be implemented byinstructions stored in a tangible, non-transitory, computer-readablemedium, such as the memory 38 or the storage component 40, andexecutable by processing circuitry, such as processor 36.

Accordingly, in such embodiments, the method 158 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 158 will be described in relation to a mobile computingdevice 26 (e.g., a second computing device 26) and a cloud-basedcomputing system 28 (e.g., a first computing device 26). However, one ofordinary skill in the art should recognize that the method 158 may beimplemented by any combination of suitable computing devices 26.

For example, the cloud-based computing system 28 may determine relatedprocedure instructions (block 160). More specifically, when creatingprocedure instructions, the related procedure instructions may includedefault procedure instructions, which may be generally applicablewithout accounting for implementation in the specific industrialautomation system. For example, default lockout-tagout (LOTO) procedureinstructions may indicate generally where lockout points should belocated on the industrial automation equipment 16. Accordingly, in someembodiments, the default procedure instructions may be provided by amanufacturer and/or the industrial automation equipment 16.

When updating the procedure instructions, the related procedureinstructions may include a previous version of the procedureinstructions. In some embodiments, a storage component 40 (e.g.,database 52) may store procedure instructions. Accordingly, in suchembodiments, the cloud-based computing system 28 may determine aprevious version of procedure instructions by searching the storagecomponent (e.g., database 52), for example, based on the identity of theindustrial automation equipment 16 and/or a facility. Additionally, insome embodiments, the industrial automation equipment 16 may storeprocedure instructions related to the industrial automation equipment16. Accordingly, in such embodiments, the cloud-based computing system28 may receive a previous version of procedure instructions from theindustrial automation equipment 16.

The cloud-based computing system 28 may then instruct execution of stepsin the related procedure instructions (block 162). In some embodiments,the cloud-based computing system 28 may transmit steps in the relatedprocedure instructions to the mobile computing device 26 via thecommunication network 30. The mobile computing device 26 may thenfacilitate execution of the steps in the related procedure instructions.In some embodiments, the mobile computing device 26 may execute steps ofthe related procedure instructions in an automated manner upon receipt.For example, when audit procedure instructions are received, the mobilecomputing device 26 may execute steps in the procedure instructions toperform an audit on the industrial automation equipment 16.Additionally, in some embodiments, the mobile computing device 26 mayrequest its user to execute steps in the related procedure instructionsby displaying a prompt (e.g., as a virtual object) on its display 48.For example, when lockout-tagout procedure instructions are received,the mobile computing device 26 may display a prompt instructing a userto place a tag at a specific place on the industrial automationequipment 16.

To facilitate creating/updating the procedure instructions, thecloud-based computing system 28 may instruct the mobile computing device26 to capture relevant information during the execution of the relatedprocedure instructions. For example, the cloud-based computing system 28may instruct the mobile computing device 26 to capture a visualrepresentation of the performance of each step as image data and/or anaudio representation of the performance of each step as audio data(block 166), to identify location where each step is performed (block168), and/or to date stamp the image data and/or audio data (block 170).

The cloud-based computing system 28 may utilize the relevant informationcaptured during the execution of the related procedure instruction tocreate/update the desired procedure instructions. More specifically, therelevant information (e.g., image data and/or location) may provide thecontext used to tailor the procedure instructions to the implementationin the specific industrial automation system.

As such, the cloud-based computing system 28 may create/update theprocedure instructions by storing the related information (block 164),for example, in its storage component 40. For instance, when theprocedure instructions are subsequently determined, the cloud-basedcomputing system 28 may display corresponding visual representations viaits display before a user performs each step, thereby improving thelikelihood of properly performing the step. Additionally, date stampingmay provide context into when the image data and/or audio data wascaptured. More specifically, the date stamp may provide an indication ofwhen the procedure instructions were created, thereby providing areference date for when to subsequently update the procedureinstructions. To facilitate subsequent retrieval, the cloud-basedcomputing system 28 may store an association between the procedureinstructions with the identity of the industrial automation equipment16, identity of a facility, operational parameter information, or thelike. In certain embodiments, the date stamps may be used to updateimage data and/or audio data that may be stored in a storage component.That is, if the date stamp indicates that the previously stored imagedata and/or audio data older than some age, the cloud-based computingsystem 28 may replace or update the previous image data and/or audiodata with the recently acquired versions of such.

Returning to the method 94 of FIG. 7, the cloud-based computing system28 may also determine whether an automated assessment is desired (block108). As used herein, an “automated assessment” is intended to describean assessment (e.g., an audit) performed on the industrial automationequipment 16 by a computing devices 26 in an automated manner.

In some embodiments, as discussed above, the cloud-based computingsystem 28 may receive an indication regarding whether an automatedassessment is desired from the mobile computing device 26. For example,in such embodiments, the second user may input a request (e.g., asdigital signal) to the mobile computing device 26 when automatedassessment is desired. The mobile computing device 26 may thencommunicate the request to the cloud-based computing system 28 via thecommunication network 30. Based on the received request, the cloud-basedcomputing system 28 may determine that operational parameter informationis desired.

When an automated assessment is desired, the cloud-based computingsystem 28 may determine the assessment information (block 110). Morespecifically, the assessment information may include results of anassessment performed on the industrial automation equipment 16 and/orthe industrial automation system. In some embodiments, the assessmentmay be previously performed and the results of the previously performedassessment may be stored in the storage component 40 of the cloud-basedcomputing system 28.

Additionally, in some embodiments, the assessment may be performed inresponse to determination that automated assessment is desired. In suchembodiments, the cloud-based computing system 28 may perform theassessment by executing procedure instructions. For example, thecloud-based computing system 28 may execute procedure instructions toperform various audits on the industrial automation equipment 16. Thus,in such embodiments, the cloud-based computing system 28 may determineprocedure instructions executed to perform the assessment, for example,using the techniques described above.

In some embodiments, the cloud-based computing system 28 may storeassociations between the assessment results (e.g., recommendationsand/or audit results) with identities of the industrial automationequipment 16 and/or other operational parameter information in itsstorage component 40 (e.g., database 52). Accordingly, in suchembodiments, the cloud-based computing system 28 may leverage itsautomated searching capabilities to facilitate determining theassessment results, thereby improving efficiency.

Thus, in some embodiments, the cloud-based computing system 28 maydetermine the desired assessment information by searching its storagecomponent 40 using the identity of the industrial automation equipment16 and/or operational parameters to determine relevant assessmentinformation. For example, the cloud-based computing system 28 may searchits storage component 40 based on the identity of the industrialautomation equipment 16 to determine recommendations for partsassociated with the identified the industrial automation equipment 16(block 176). In some embodiments, the recommendations for parts mayidentify parts that are compatible with the industrial automationequipment 16 and/or parts that can be used to replace existing parts inthe industrial automation equipment 16. Accordingly, in someembodiments, the cloud-based computing system 28 may receiverecommendations for parts from the industrial automation equipment 16.

Additionally, the cloud-based computing system 28 may search its storagecomponent 40 based on facility layout to determine optimizationrecommendations (block 174). In some embodiments, the optimizationrecommendations may include operational adjustments to the industrialautomation equipment 16 that facilitate operation of the facility.Additionally, in some embodiments, the optimization recommendations mayinclude adjustments to the location of the industrial automationequipment 16 that facilitate interoperation or interconnections withinthe industrial automation system or the communication network 30.

Furthermore, the cloud-based computing system 28 may search its storagecomponent 40 based on the industrial automation equipment 16 statusand/or the facility status to determine service recommendations (block172). In some embodiments, the service recommendations may includeservices that may be performed in the industrial automation system. Forexample, the service recommendations may include updating services thatupdate firmware/software and/or parts of the industrial automationequipment 16 when its corresponding industrial automation equipmentstatus is obsolete. Thus, the cloud-based computing system 28 mayfacilitate determining the relevant assessment information in anautomated manner.

In addition to the assessment results, the relevant assessmentinformation may include quotes for implementing any of therecommendations. In some embodiments, the cloud-based computing system28 may store associations between recommendations and estimatedcorresponding costs, which may include parts, parts costs, servicecosts, labor costs, and the like in its storage component 40 (e.g.,database 52). Accordingly, in such embodiments, the cloud-basedcomputing system 28 may leverage its automated searching capabilities tofacilitate determining a quote corresponding to a providedrecommendation, thereby improving efficiency. Thus, in some embodiments,the cloud-based computing system 28 may determine a corresponding quote(block 178) by searching its storage component 40 based on the providedrecommendation.

The relevant assessment information may also include options forimplementing any of the recommendations. For example, the cloud-basedcomputing system 28 may provide contact information for a serviceprofessional capable of implementing the recommendation (block 180).Additionally, the cloud-based computing system 28 may determineprocedure instructions that may be executed, for example by a user orthe mobile computing device 26, to implement the recommendation (block182). In some embodiments, the first computing device 26 may storeassociations between recommendations and options for implementation(e.g., service professional contact information and/or associatedprocedure instructions) in its storage component 40 (e.g., database 52).Thus, in some embodiments, the cloud-based computing system 28 maydetermine an option for implementing a recommendation by searching itsstorage component 40 based on the provided recommendation.

The cloud-based computing system 28 may then transmit the identity ofthe industrial automation equipment 16, operational parameterinformation when desired, procedure instructions when desired, andautomated assessment information when desired (e.g., relevantinformation) (block 112). In some embodiments, the cloud-based computingsystem 28 may transmit the relevant information to the mobile computingdevice 26 via the communication network 30.

Based on the received relevant information, the mobile computing device26 may then perform various operations. For example, the mobilecomputing device 26 may provide the identity, operational parameters,assessment, and/or procedure instructions to the second user bydisplaying graphical objects (e.g., virtual objects) on its display 48.Additionally, the mobile computing device 26 may execute the procedureinstructions to, for example, instruct the industrial automationequipment 16 to perform a control action, run a troubleshootingprocedure on the industrial automation equipment 16, and/or perform anaudit on the industrial automation system.

In this manner, image data capturing a visual representation of aportion of an industrial automation system and/or audio data capturingan audio representation of the portion of the industrial automationsystem may enable the a computing device 26 to leverage its automatedsearching capabilities and determine relevant information (e.g.,identity, operational parameters, assessment, and/or procedureinstructions) in an automated manner. As such, efficiency associatedwith the determining the relevant information may be facilitated, forexample, by increasing speed with which the relevant information isdetermined. In this manner, communication of relevant information in theindustrial automation system may be facilitated by enabling remoteand/or automated determination of the relevant information.

Presentation of Relevant Information

As discussed above, the communication of relevant material may also befacilitated by improving the presentation, for example, to a user. Insome embodiments, a computing device 26 may facilitate presentation ofrelevant information by displaying virtual objects superimposed on realobjects. More specifically, the real objects may be a visualrepresentation of physical features of the facility, such as theindustrial automation equipment 16. Additionally, the virtual objectsmay be a visual representation of nonphysical features of the industrialautomation equipment 16 or the industrial automation system, such textindicating operational parameters of the industrial automation equipment16

FIG. 11 is a screen capture of a display, in accordance with embodimentspresented herein. To simplify the following discussion, the display 183will be described in relation to a mobile computing device 26 (e.g., acomputing device 26). However, one of ordinary skill in the art shouldrecognize that the display 183 may be implemented by any suitable typeof computing device 26.

In the depicted embodiment, the display 183 depicts a portion of thefacility as real objects, which in the depicted embodiment includes acontrol unit real object 184, a motor real object 186, and a conveyorreal object 188. The control unit real object 184, the motor real object186, and the conveyor real object 188 may be image data capturing acontrol unit industrial automation equipment 16, a motor industrialautomation equipment 16, and a conveyer industrial automation equipment16, respectively. Accordingly, in some embodiments, the mobile computingdevice 26 may capture a visual representation used to display the realobjects via its image sensor 44. Additionally, in some embodiments, themobile computing device 26 may receive the real objects from acloud-based computing system 28 (e.g., a computing device 26) via thecommunication network 30, for example, based at least in part on thelocation and orientation of the mobile computing device 26 relative tothe facility and/or one or more of the industrial automation equipment16. That is, the cloud-based computing system 28 may provide realobjects to display on the display 183 via additional image sensorsdisposed throughout the facility.

In addition to the real objects, the display 183 illustrated in FIG. 11also depicts various virtual objects. More specifically, some virtualobjects may be displayed to present relevant information adjacent to areal object representation of corresponding industrial automationequipment 16. For example, in the depicted embodiment, the display 183displays a motor virtual object 192 adjacent to the motor real object186 with text to indicate the identity, temperature, and status of themotor. Similarly, the display 183 displays a conveyor virtual object 194adjacent the conveyor real object 188 with text to indicate theidentity, speed, temperature, and status of the conveyor. Furthermore,the display 183 displays a control unit virtual object 190 adjacent tothe control unit real object 184 with text to indicate the identity,temperature, and status of the control unit.

As described above, the virtual objects may facilitate remote and/orautomated determination of relevant information. For example, thevirtual objects may provide additional relevant information to a user tohelp the user determine identity, procedure instructions, and/orassessment information. It should be appreciated that the relevantinformation provided in the virtual objects is merely intended to beillustrative. As such, in other embodiments, the virtual objects mayprovide other types of relevant information.

FIG. 12 is a flow diagram describing a method for displaying realobjects and virtual objects on the display, in accordance withembodiments presented herein. Generally, the method 196 includesdetermining a location and orientation of a computing device (block198), displaying real objects proximate the computing device (block200), determining relevant information to the real objects (block 202),and displaying the relevant information as virtual objects superimposedon the real objects (block 204). In some embodiments, the method 196 maybe implemented by instructions stored in a tangible, non-transitory,computer-readable medium, such as the memory 38 or the storage component40, and executable by processing circuitry, such as processor 36.

Accordingly, in such embodiments, the method 196 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 196 will be described in relation to a mobile computingdevice 26 (e.g., a second computing device 26) and a cloud-basedcomputing system 28 (e.g., a first computing device 26). However, one ofordinary skill in the art should recognize that the method 196 may beimplemented by any combination of suitable computing devices 26.

For example, a mobile computing device 26 may determine its location andits orientation (block 198) with respect to the facility and/or one ormore of the industrial automation equipment 16. In some embodiments, themobile computing device 26 may determine its location and itsorientation based on captured image data. More specifically, the mobilecomputing device 26 may communicate captured image data to a cloud-basedcomputing system 28 via the communication network 30. As describedabove, the cloud-based computing system 28 may determine physicaldimensions, shapes, or other geometrical information regarding physicalfeatures captured by the image data. Accordingly, in some embodiments,the cloud-based system 27 may determine the location and orientationthat would have resulted in the image data. The cloud-based computingsystem 28 may then communicate the location and orientation and/oridentity of captured physical features back to the mobile computingdevice 26 via the communication network 30. In other embodiments, themobile computing device 26 may determine its location and orientationusing its location sensor 46 (block 208).

The mobile computing device 26 may then depict real objects to visuallyrepresent its surroundings (block 200). In some embodiments, the realobjects may be based on image data capturing the surroundings proximatethe mobile computing device 26 (block 210). For example, the mobilecomputing device 26 may display a visual representation presentlycaptured by its image sensor 44, in which visual representations ofphysical features (e.g., the industrial automation equipment 16) arereal objects. In other embodiments, the real objects may be based on apreviously captured visual representation, such as image data or a 3Drepresentation (blocks 210 and 211).

FIG. 13 is a flow diagram describing a method for capturing visualrepresentations used to display real objects, in accordance withembodiments presented herein. Generally, the method 212 includesreceiving a visual representation of physical features (block 214),determining location and orientation associated with visualrepresentation of the physical features (block 216), and storing anassociation of the physical features with corresponding location andorientation (block 218). In some embodiments, the method 212 may beimplemented by instructions stored in a tangible, non-transitory,computer-readable medium, such as the memory 38 or the storage component40, and executable by processing circuitry, such as processor 36.

Accordingly, in such embodiments, the method 212 may be implemented byone or more computing devices 26. To simplify the following discussion,the method 212 will be described in relation to a mobile computingdevice 26 (e.g., a second computing device 26) and a cloud-basedcomputing system 28 (e.g., a first computing device 26). However, one ofordinary skill in the art should recognize that the method 212 may beimplemented by any combination of suitable computing devices 26.

For example, the cloud-based computing system 28 may receive a capturedvisual representation of physical features (block 214). In someembodiments, the cloud-based computing system 28 may receive thecaptured visual representation from another computing device 26 thatcaptured the visual representation via the communication network 30. Forexample, the visual representation may be captured as image data by animage sensor 44 of the other computing device 26. Additionally, thevisual representation may be a three-dimensional (3D) representation ofthe facility determined by a 3D scan of the facility to capture the 3Dcontours of the physical features, such as the 3D shape of industrialautomation equipment 16. The 3D visual representation may facilitatetraining users 32 regarding the operation and/or layout of the facility.

Additionally, a location sensor 46 may determine the location andorientation associated with the captured visual representation (block216). More specifically, the location and orientation may indicate thelocation and orientation of the computing device 26 relative to physicalfeatures when the computing device 26 captured the visualrepresentation. In other words, the determined location and orientationmay provide context into where the visual representation was captured.As such, the second computing device 46 may the store associationsbetween the captured visual representation and the determined locationand orientation (block 218), for example, in its storage component 40(e.g., database 52). In this manner, the second computing device 46 maysearch its storage component 40 based at least in part on location andorientation of the mobile computing device 26 to determine what physicalfeatures should be proximate the mobile computing device 26.

As such, returning to the method 196 described in FIG. 12, thecloud-based computing system 28 may determine physical featuresproximate to the mobile computing device 26, for example, by searchingits storage component 40 (e.g., database 52) based on the location andorientation of the mobile computing device 26. The cloud-based computingsystem 28 may then communicate the associated previously captured visualrepresentation (e.g., image data or 3D representation) to the mobilecomputing device 26, for example, via the communication network 30.Based at least in part on the received previously captured visualrepresentation, the mobile computing device 26 may then depict realobjects to represent the proximate physical features.

In some embodiments, the real objects may facilitate presenting visualrepresentations of physical features that may not be directly visible toa user of the mobile computing device 26. For example, when the imagesensor 44 captures the industrial automation equipment 16, the mobilecomputing device 26 may display real objects to visually representinternal components of the industrial automation equipment 16. In someembodiments, the real objects may be displayed based at least in part onknown internal components of the industrial automation equipment 16and/or previously captured image data of the internal components. Thatis, for example, the cloud-based computing system 28 may provide imagedata regarding internal components or other relevant image dataregarding the industrial automation equipment 16 being viewed. In thismanner, the mobile computing device 26 may enable a user to view theinternal components without physically opening the industrial automationequipment 16, which may be particularly useful in high power equipment.

To further illustrate, based on the location and orientation, the mobilecomputing device 26 may display real objects to visually represent theindustrial automation equipment 16 that may be obstructed from view byother physical features. For instance, when displaying a desiredindustrial automation equipment 16 that is out of sight of the imagesensor 44 due to the presence of other industrial automation equipment16, a wall, or the like. The mobile computing device 26 may generate avisualization indicating an outline of the obstruction and provide aview through the obstruction to view the desired industrial automationequipment 16. As such, the real objects may be displayed based at leastin part on previously captured image data, such as image data capturedby a three-dimensional scan of the facility or by image data acquired byother image sensors disposed throughout a facility. Additionally, themobile computing device may provide a visualization, such as a glowingor pulsating virtual object, from a direction that corresponds to thedesired industrial automation equipment 16. In this manner, the mobilecomputing device 26 may enable a user to visualize the location of theindustrial automation equipment 16 even when otherwise obstructed fromview.

Additionally, the mobile computing device 26 may determine informationrelevant to the depicted real objects (block 202). In some embodiments,the mobile computing device 26 may receive the relevant information fromthe cloud-based computing system 28 or sensors 16 via the communicationnetwork 30. As described above, the relevant information may includeoperational parameters, procedure instructions, and/or assessmentinformation. Accordingly, in some embodiments, the mobile computingdevice 26 may determine operational parameter information related to adisplayed real object, which corresponds with the industrial automationequipment 16. For example, to determine the operational parametersinformation, the mobile computing device 26 may poll sensors 16 in theindustrial automation system that measure desired operationalparameters. In response, the sensors 16 may return the desiredoperational parameters to the mobile computing device 26. Additionally,in some embodiments, the mobile computing device 26 may receive theoperational parameter information from the cloud-based computing system28 using the techniques described above.

Using the techniques described above, the mobile computing device 26 mayalso determine relevant procedure instructions (block 222) and/ordetermine relevant assessment information (block 224) in a remote and/orautomated manner. For example, as described above, the mobile computingdevice 26 may capture identifying information (e.g., image data) andcommunicate the identifying information to the cloud-based computingsystem 28 via the communication network 30. Based at least in part onthe identifying information, the cloud-based computing system 28 maydetermine the relevant information in an automated manner by searchingits storage component 40 (e.g., database 52) and/or in a remote mannerby receiving inputs from a user physically remote from the mobilecomputing device 26.

After determining the relevant information, the mobile computing device26 may present the relevant information by displaying virtual objectssuperimposed on the real objects (block 204). For example, as describedabove, mobile computing device 26 may display the motor virtual object192 with text to indicate the identity, temperature, and status of themotor; the conveyor virtual object 194 with text to indicate theidentity, speed, temperature, and status of the conveyor automation; andthe control unit virtual object 190 with text to indicate the identity,temperature, and status of the control unit.

However, as depicted, the virtual objects may cover portions of realobjects depicted on the display 183. As such, to conserve screen spaceof the display 48, some virtual objects may be selectably displayed. Insome embodiments, virtual objects may be automatically displayed whenthe mobile computing device 26 is oriented toward a correspondingindustrial automation equipment 16 and located within a certain distancefrom the industrial automation equipment 16. As such, when the userdirects the mobile computing device 26, the image data may betransmitted to the cloud-computing system 27, which may determinerelevant information to provide various virtual objects to be depictedon the display 183. For example, virtual objects may be added to thedisplay 183 to indicate the relevant information regarding theindustrial automation equipment 16 being viewed, such as obsolete parts,maintenance information, temperature readings, and the like. In certainembodiments, the virtual objects may include measurements from devicesmonitoring the industrial automation equipment 16 such as temperaturesensors, pressure sensors, and the like.

Additionally, some virtual objects may be displayed in response to userinteraction with a displayed graphical object (e.g., a real object or avirtual object). In other words, some real objects and some virtualobjects may be selectable graphical objects (block 226). For example,with regard to screen capture of the display 183 in FIG. 11, the controlunit real object 184 may be a selectable graphical object. Accordingly,in response to a selection of the control unit real object 184, thecontrol unit virtual object 190 may be displayed to provide relevantinformation to the control unit.

The virtual objects may also be selectable graphical objects. In someembodiments, the selectable graphical objects may be notificationvirtual objects. Accordingly, returning to the method 196 of FIG. 12,the mobile computing device 26 may display some virtual objects asnotification virtual objects (block 241). Generally, to conserve displayscreen space, a notification virtual object may indicate relevantinformation on a coarse level.

For example, with regard to the screen capture of the display 183 inFIG. 11, a first notification virtual object 242 is superimposed on thecontrol unit real object 190 since the control unit is obsolete.Similarly, a second notification virtual object 244 is displayedsuperimposed on the motor real object 186 since the motor automation isoverheating. However, to conserve display screen space, the firstnotification virtual object 242 and the second notification virtualobject 244 merely indicate that user attention is desired withoutproviding additional details on the cause. As such, the virtual object244 may include adding a highlight to the industrial automationequipment 16, pulsating outline of the industrial automation equipment16, or any other animation effect.

To determine additional detail, the user may select the notificationvirtual object. For example, in response to a selection of the firstnotification virtual object 242, the mobile computing device 26 maydisplay the control unit virtual object 190 to indicate that theobsolete status of the control unit automation. Similarly, in responseto a selection of the second notification virtual object 244, the mobilecomputing device 26 may display the motor virtual object 192 to indicatethe overheating status of the motor automation

In other embodiments, the notification virtual objects may take otherforms. In some embodiments, different symbols may be used to indicateadditional relevant information. For example, the first notificationvirtual object 242 may be an “O” to indicate that the control unit isobsolete and the second notification virtual object 244 may be a flamesymbol to indicate that the motor industrial automation equipment 186 isoverheating. Additionally, colors may be used to indicate additionalrelevant information. In some embodiments, notification virtual objectsmay be displayed to change the perceived color of real objects. Forexample, a heat map may be provided by using notification virtualobjects to adjust perceived color of the real objects based ontemperature of the corresponding industrial automation equipment 16.

In addition to notification virtual objects, the selectable graphicalobjects may include button virtual objects. For example, the controlunit virtual object 190 includes a Y (e.g., yes) button virtual object228, an N (e.g., no) button virtual object 230, and an audit buttonvirtual object 232. More specifically, when the audit button virtualobject 232 is selected, an audit result virtual object 234 may bedisplayed to provide results of an audit assessment. In the depictedembodiment, the audit result virtual object 234 provides stars toindicate a safety rating, a production rating, a network rating, anasset rating, a work flow rating, a productive problems rating, asustainability rating, and/or an environmental rating.

In addition to causing display of virtual objects, selectable graphicalobjects may also perform other operations in response to selection. Forexample, when the Y button virtual object 228 is selected, the out ofdata firmware/software of the industrial automation equipment 16 may beupdated and/or replacement parts for parts available in limited suppliesmay be recommended. On the other hand, when the N button virtual object230 is selected, the control unit is not updated. Additionally, in thedepicted embodiment, the display 183 depicts a LOTO procedureinstructions button virtual object 236, a get directions button virtualobject 238, and a notifications on/off button virtual object 240. Morespecifically, when the LOTO procedure instructions button virtual object238 is selected, the mobile computing device 26 may determine LOTOprocedure instructions, for example, using the techniques describedabove. In some embodiments, the mobile computing device 26 may thenpresent the LOTO procedure instructions as a virtual object.Additionally, the mobile computing device 26 may instruct the industrialautomation equipment 16 to execute the LOTO procedure instructions.

Additionally, when the get directions button virtual object 238 isselected, the mobile computing device 26 may determine directions fromits current location to location of a target industrial automationequipment. For example, in the depicted embodiment, a direction virtualobject 246 and a bearing virtual object 248 are displayed to facilitateguiding a user to a target location. More specifically, the directionvirtual object 246 may include the current location of the mobilecomputing device 26 and the final (e.g., target) location.

The bearing virtual object 248 and the directions virtual object 246 mayalso present direction procedure instructions to the user. For example,in the depicted embodiment, the bearing virtual object 248 and thedirections virtual object 246 indicate that the user should turn to theright and travel 22.58 meters. As the mobile computing device 26 moves,the directions virtual object 246 and the bearing virtual object 248 maybe updated. For example, in some embodiments, the direction steps may bepresented in a turn-by-turn manner. In other words, each direction stepprovided one at a time to track execution. As such, the directionsvirtual object 246 may provide a next direction step upon completion ofa previous direction step until reaching the target location. Inaddition to directions, as mentioned above, the mobile computing device26 may indicate a relative location of the target location by an arrowor a pulsating portion of the display 183 to indicate a relativedirection of the target location with respect to the image data depictedon the display 183. In addition to the directional information, thevirtual object may include information regarding the target location,such as its distance, any relevant information regarding the targetlocation or the industrial automation equipment 16 at the targetlocation or within a vicinity of the target location.

Furthermore, the notifications on/off button virtual object 240 maytoggle on or off notification virtual objects. For example, whennotification virtual objects are being displayed, selection of thenotifications on/off button virtual object 240 may turn the notificationvirtual objects off. On the other hand, when the notification virtualobjects are not being displayed, selection of the notifications on/offbutton virtual object 240 may turn the notification virtual objects on.In this manner, the displayed virtual objects may be adjusted by theuser.

In other embodiments, the user may further adjust what virtual objectsare displayed. For example, the user may turn off all virtual objectsand only display real objects. Additionally, the user may select whattypes of virtual objects to display and what type of virtual objects notto display. For example, the user may turn on notification virtualobjects and turn off industrial automation equipment virtual objects. Inthis manner, the user may adjust how display screen space is used.

Virtual objects describing relevant information may be displayedsuperimposed on real objects representing physical features tofacilitate presentation of the relevant information. For example, acomputing device may indicate relevant information related to theindustrial automation equipment 16 by displaying a virtual object withthe relevant information adjacent a real object depicting the industrialautomation equipment. In this manner, communication of relevantinformation may be facilitated by improving presentation of the relevantinformation.

Technical effects of the embodiments described herein include improvingcommunication of relevant information in an industrial automationsystem. More specifically, communication may be facilitated by enablingremote and/or automated determination of the relevant information.Additionally, communication of relevant information may be facilitatedby improving presentation of the relevant information. By improvingcommunication of relevant information, operations and maintenance of theindustrial automation system may be performed more efficiently.

In the preceding specification, various embodiments have been describedwith reference to the accompanying drawings. It will, however, beevident that various modifications and changes may be made thereto, andadditional embodiments may be implemented, without departing from thebroader scope of the systems and techniques as set forth in the claimsthat follow. The specification and drawings are accordingly to beregarded in an illustrative rather than restrictive sense.

The invention claimed is:
 1. An industrial automation system,comprising: a first computing device configured to be communicativelycoupled to a second computing device via a communication network,wherein the first computing device is configured to: receive image datacapturing a visual representation of industrial automation equipment inoperation via the communication network, wherein the image data isacquired by the second computing device; determine an identity of theindustrial automation equipment based at least in part on the imagedata, wherein the identity of the industrial automation equipment isdetermined based on the image data, audio data comprising an audiorepresentation of the industrial automation equipment, or both;determine relevant information regarding the industrial automationequipment based at least in part on the identity of the industrialautomation equipment, wherein the relevant information comprisesoperational parameters related to the industrial automation equipment,operational parameters related to a facility that includes theindustrial automation equipment, procedure instructions to beimplemented in the industrial automation system, assessment information,or any combination thereof; and instruct the industrial automationequipment, the second computing device, the first computing device, acontrol and monitoring system in the industrial automation system, auser, or any combination thereof to perform one or more operations inthe industrial automation system based at least in part on the relevantinformation, wherein the one or more operations comprise a step in theprocedure instructions, instructing the industrial automation equipmentto execute the step in the procedure instructions, prompting a user toperform the step in the procedure instructions, displaying receivedoperational parameters, displaying received assessment information, orany combination thereof.
 2. The industrial automation system of claim 1,wherein the first computing device comprises a display configured to:display a real object based at least in part on the image data, whereinthe real object is configured to visually represent physical features ofthe industrial automation equipment; and display one or more virtualobjects based at least in part on the relevant information, wherein theone or more virtual objects are configured to visually represent therelevant information.
 3. The industrial automation system of claim 1,wherein the first computing device is configured to: display a promptrequesting input of the identity of the industrial automation equipmentfrom a user physically remote from the facility; and determine theidentity of the industrial automation equipment based at least in parton a user input, wherein the relevant information comprises the identityof the industrial automation equipment.
 4. The industrial automationsystem of claim 3, wherein the first computing device is configured todetermine the identity of the industrial automation equipment by:searching a storage component based at least in part on the image datato determine identity suggestions; and displaying one or more graphicalobjects on a display to present one or more suggestions associated withthe identity of the industrial automation equipment.
 5. The industrialautomation system of claim 1, wherein the first computing device isconfigured to: display a prompt requesting input of assessmentinformation related to the industrial automation system from a userphysically remote from the facility; and determine the assessmentinformation based at least in part on a user input, wherein the relevantinformation comprises the assessment information.
 6. The industrialautomation system of claim 5, wherein the first computing device isconfigured to determine the assessment information by: searching astorage component based at least in part on the image data to determinecriteria used to determine the assessment information; and display oneor more graphical objects to present the criteria.
 7. The industrialautomation system of claim 1, wherein the first computing device isconfigured to: display a prompt requesting input of one or moreprocedure instructions to be implemented in the industrial automationsystem from a user physically remote from the facility; and determinethe one or more procedure instructions based at least in part on a userinput, wherein the relevant information comprises the procedureinstructions.
 8. The industrial automation system of claim 7, whereinthe procedure instructions comprise one or more lockout-tagout procedureinstructions, one or more service procedure instructions, one or moremaintenance procedure instructions, one or more troubleshootingprocedure instructions, or any combination thereof.
 9. The industrialautomation system of claim 1, wherein the second computing devicecomprises a mobile computing device and the first computing devicecomprises a cloud-based computing system.
 10. A tangible,non-transitory, computer-readable medium configured to storeinstructions executable by a processor in a first computing device,wherein the instructions comprise instructions to: receive, using theprocessor, first image data capturing a visual representation ofindustrial automation equipment in an industrial automation system,wherein the first image data is acquired by a second computing deviceseparate from the first computing device; determine, using theprocessor, an identity of the industrial automation equipment via afirst automated search of a storage component based at least in part onthe first image data, wherein the identity of the industrial automationequipment is determined based on the first image data, audio datacomprising an audio representation of the industrial automationequipment, or both; determine, using the processor, relevant informationbased at least in part on the identity of the industrial automationequipment, wherein the relevant information comprises operationalparameters related to the industrial automation equipment, operationalparameters related to a facility that includes the industrial automationequipment, procedure instructions to be implemented in the industrialautomation system, assessment information, or any combination thereof;and instruct, using the processor, the first computing device, thesecond computing device, the industrial automation equipment, a user, acontrol and monitoring system in the industrial automation system, orany combination thereof to perform one or more operations in theindustrial automation system based at least in part on the relevantinformation, wherein the one or more operations comprise a step in theprocedure instructions, instructing the industrial automation equipmentto execute the step in the procedure instructions, prompting a user toperform the step in the procedure instructions, displaying receivedoperational parameters, displaying received assessment information, orany combination thereof.
 11. The computer-readable medium of claim 10,wherein the instructions to determine the identity of the industrialautomation equipment comprise instructions to: determine physicaldimensions of the industrial automation equipment based at least in parton the first image data; and search the storage component based at leastin part on the physical dimensions to determine the identity of theindustrial automation equipment, wherein the storage component isconfigured to associate a plurality of industrial automation equipmentwith corresponding sets of physical dimensions.
 12. Thecomputer-readable medium of claim 11, comprising instructions to receivethe corresponding sets of physical dimensions from each of the pluralityof industrial automation equipment.
 13. The computer-readable medium ofclaim 10, wherein the instructions to determine the identity of theindustrial automation equipment comprise instructions to: determine asound profile of the industrial automation equipment based at least inpart on audio data, wherein the audio data captures an audiorepresentation of the industrial automation equipment; and search thestorage component based at least in part on the sound profile todetermine the identity of the industrial automation equipment, whereinthe storage component is configured to associate a plurality ofindustrial automation equipment with corresponding sound profiles. 14.The computer-readable medium of claim 10, comprising instructions todetermine, using the processor, identity of a facility that includes theindustrial automation equipment via a second automated search of thestorage component based at least in part on the identity of theindustrial automation equipment; wherein the instructions to determinethe relevant information comprise instructions to: determine a first setof operational parameters corresponding with the industrial automationequipment based at least in part on the identity of the industrialautomation equipment, wherein the first set operational parameters ofthe industrial automation equipment comprise a location of theindustrial automation equipment, a status of the industrial automationequipment, or both; and determine a second set of operational parameterscorresponding with the facility based at least in part on the identityof the facility, wherein the second comprise a count of equipmentlocated at the facility, a layout of the facility, a status of thefacility, one or more external conditions associated with the facility,or any combination thereof; wherein the relevant information comprisesthe first set of operational parameters and the second set ofoperational parameters.
 15. The computer-readable medium of claim 10,comprising instructions to update procedure instructions to beimplemented in the industrial automation system by: determining aprevious version of the procedure instructions based at least in part onthe identity of the industrial automation equipment; instructing thesecond computing device or a user to perform a step from the previousversion of the procedure instructions; receiving second image datacapturing a visual representation of performance of the step from thesecond computing device; associating the second image data with a stepin the procedure instructions; and storing the procedure instructions inthe storage component to enable the first computing device to retrieveand communicate the procedure instructions to the second computingdevice.
 16. The computer-readable medium of claim 10, comprisinginstructions to track execution of procedure instructions beingimplemented in the industrial automation system by: communicating afirst step in the procedure instructions to the second computing device;and communicating a second step in the one or more procedureinstructions to the second computing device only after receiving aconfirmation of execution of the first step from the second computingdevice, the industrial automation equipment, or both.
 17. A methodcomprising: receiving, using a first computing device, identifyinginformation of industrial automation equipment in an industrialautomation system, wherein the identifying information comprises imagedata comprising a visual representation of the industrial automationequipment, audio data comprising an audio representation of theindustrial automation equipment, or both; communicating, using the firstcomputing device, the identifying information of the industrialautomation equipment to a second computing device via a communicationnetwork, wherein the second computing device is configured to determinerelevant information associated with the industrial automation equipmentbased at least in part on the identifying information, wherein therelevant information comprises operational parameters related to theindustrial automation equipment, operational parameters related to afacility that includes the industrial automation equipment, procedureinstructions to be implemented in the industrial automation system,assessment information, or any combination thereof; and receiving, usingthe first computing device, the relevant information from the secondcomputing device via the communication network; and performing, usingthe first computing device, an operation in the industrial automationsystem based at least in part on the relevant information, wherein theoperation comprises executing a step in the procedure instructions,instructing the industrial automation equipment to execute the step inthe procedure instructions, prompting a user to perform the step in theprocedure instructions, displaying received operational parameters,displaying received assessment information, or any combination thereof.